VIRULENCE GENE DETECTION AND EXPRESSION IN STREPTOCOCCUS DYSGALACTIAE SUBSP. DYSGALACTIAE STRAINS AND EVALUATION OF INFECTION POTENTIAL JOÃO MANUEL MATA CAÇO DISSERTATION SUBMITTED FOR THE DEGREE OF MASTER IN MEDICAL MICROBIOLOGY OCTOBER, 2015
VIRULENCE GENE DETECTION AND EXPRESSION IN STREPTOCOCCUS
DYSGALACTIAE SUBSP. DYSGALACTIAE STRAINS AND EVALUATION OF
INFECTION POTENTIAL
JOÃO MANUEL MATA CAÇO
DISSERTATION SUBMITTED FOR THE DEGREE OF MASTER IN MEDICAL
MICROBIOLOGY
OCTOBER, 2015
ii
VIRULENCE GENE DETECTION AND EXPRESSION IN STREPTOCOCCUS
DYSGALACTIAE SUBSP. DYSGALACTIAE STRAINS AND EVALUATION OF
INFECTION POTENTIAL
JOÃO MANUEL MATA CAÇO
DISSERTATION SUBMITTED FOR THE DEGREE OF MASTER IN MEDICAL
MICROBIOLOGY
SUPERVISION: ILDA SANTOS-SANCHES, PhD
CO-SUPERVISION: ALEXANDRA FERNANDES, PhD
DEPARTAMENTO DE CIÊNCIAS DA VIDA, UCIBIO, FACULDADE DE
CIÊNCIAS E TECNOLOGIA, UNIVERSIDADE NOVA DE LISBOA
OCTOBER, 2015
iii
This MSc Dissertation is included in Project ref. PTDC/CVT-EPI/4651/2012 -
“Unravelling the host specificity within Streptococcus dysgalactiae subsp.
dysgalactiae”, funded by Fundação para a Ciência e a Tecnologia, Portugal).
Publications:
Part of the work presented in this MSc Dissertation was included in the following
abstracts submitted to the 6th joint congress of Microbiology and Biotechnology:
Microbiotec15, organized by the Portuguese Society of Microbiology and the
Portuguese Society of Biotechnology (December 10-12, 2015. Évora, Portugal):
- Alves-Barroco C, Caço J, Roma-Rodrigues C, Balasubramanian N, Mato R,
Fernandes A, Bexiga R, Oliveira M, Chambel L, Tenreiro R, Guimarães M, Ferreira-
Carvalho B, Figueiredo A, and Santos-Sanches I. Evolution of bovine mastitis
Streptococcus dysgalactiae subsp. dysgalactiae isolates from Portugal. Abst. Ref. 2519
- Roma-Rodrigues C, Alves-Barroco C, Caço J, Raposo L, Costa M, Fortunato E,
Baptista P, Fernandes A and Santos Sanches I. Analysis of adherence to and
internalization into human cells by bovine mastitis Streptococcus dysgalactiae subsp.
dysgalactiae. Abst. Ref. 2489
iv
Acknowledgements
I am grateful to Professor Ilda Santos-Sanches and Professor Alexandra Fernandes, my
supervisors, for the opportunity to work in their laboratories at the Department of Life
Sciences of the Faculty of Sciences and Technology (FCT NOVA), as a master student
for the achievement of the title of Master in Medical Microbiology. Their supervision
and support were invaluable and I have to thank for all the availability and effort done
in guiding my work.
I am also grateful to Cinthia Alves-Barroco (PhD Student – Programa Doutoral em
Biologia, FCT NOVA), for all the support throughout the time spent working in the
laboratory, especially for teaching me the work mechanics and helping me fit into the
group. Also, for helping me when I had doubts and questions which allowed me to learn
and helped me immensely in developing this thesis.
I also want to thank Catarina Roma-Rodrigues (Post-Doctoral Fellow of project
PTDC/CVT-EPI/4651/2012) for helping and teaching me many work related procedures
and also data analysis which were invaluable to conclude this work.
I want to thank all my laboratory colleagues that helped directly and/or indirectly in my
work and made me enjoy my stay at the laboratory. For all the interesting personal
interactions and helpful contributions.
A very special thanks to my girlfriend Bárbara Gonçalves for all the emotional support
and advice given, and to my closest friends, particularly to André Pereira and David
Barbosa, to whom I owe a lot for supporting me throughout all this years and for
helping me grow and become a better person.
Thank you mother.
v
Abstract
Streptococcus dysgalactiae subsp. dysgalactiae (SDSD) is considered an exclusively
animal pathogen and Streptococcus pyogenes (GAS) a strictly human pathogen. GAS
phage virulence determinants were recently found in SDSD strains of bovine origin, and
cases of human infection associated with SDSD have been recently reported. The SDSD
zoonotic potential has been therefore suggested, however the role of those virulence
genes in the pathogenesis of the bovine SDSD has not been proved.
One of the objectives of this thesis was to detect the presence and expression of GAS
virulence determinants, among contemporary SDSD strains, isolated from milk samples
of bovines diagnosed with mastitis in Portuguese dairy herds between 2011-13 and
compare the data with the one previously reported of a study of a Portuguese SDSD
collection of 2002-03. In vitro and in vivo infection potential was also evaluated and
compared between both collections. GAS genetic determinants (virulence genes speB,
speC, speF, speH, speK, speL, speM, smeZ, spd1, sdn and the chimeric element
Tn1207.3/Φ10394.4) were screened by PCR and their expression was assessed by PCR
after cDNA synthesis. Extracellular DNase production was assessed and correlated with
spd1 and sdn genotypic profile. To study the infection potential, in vitro, human normal
and tumoral respiratory cell lines (BTEC and Detroit 562, respectively) were used, and
in vivo, the zebrafish animal model was chosen. Results suggested that the virulence
determinants screened are characteristic of SDSD of bovine origin and that extracellular
DNase production was independent on the spd1 and sdn genes. In vitro and in vivo
infection studies revealed that the infection potentials of SDSD are strain-specific and
independent on the virulence genes screened. Zoonotic potential of SDSD is further
suggested, as strains from bovine origin were able to infect human cell lines, as well as
the zebrafish.
Keywords: Streptococcus dysgalactiae subsp. dysgalactiae, Streptococcus pyogenes,
zoonosis, virulence genes, human respiratory cell lines, zebrafish.
vi
Resumo
Streptococcus dysgalactiae subsp. dysgalactiae (SDSD) é considerado um agente
patogénico animal exclusivo e Streptococcus pyogenes (GAS) um agente patogénico
humano exclusivo. Recentemente foram encontrados fatores de virulência fágicos de
GAS em estirpes de SDSD de origem bovina e casos de infeção humana associada a
SDSD têm vindo a ser reportados. Em consequência, o potencial zoonótico de SDSD foi
sugerido, contudo o papel destes fatores de virulência na patogénese de SDSD não foi
comprovado.
Um dos objetivos desta tese foi detetar a presença e expressão de fatores de virulência
de GAS, entre isolados de SDSD contemporâneos de origem portuguesa, isolados de
amostras de leite de bovinos disgnosticados com mastite em herdades leiteiras
portuguesas entre 2011-13 e comparar estes dados com os reportados de uma coleção
portuguesa de SDSD previamente estudada de 2002-03. O potencial de infeção in vitro
e in vivo foi também avaliado e comparado entre coleções. Determinantes genéticos de
GAS (os genes de virulência speB, speC, speF, speH, speK, speL, speM, smeZ, spd1,
sdn e o elemento quimérico Tn1207.3/Φ10394.4) foram pesquisados por PCR e a sua
expressão averiguada por PCR após síntese de cDNA. A produção de DNases
extracelulares foi avaliada e correlacionada com o perfil genotipico dos genes spd1 e
sdn. Para estudar o potencial de infeção, in vitro, foram utilizadas linhas celulares
repiratórias normais e tumorais humanas (BTEC e Detroit 562, respetivamente) e in
vivo, o modelo animal zebrafish. Os resultados sugerem que os fatores de virulência
pesquisados são característicos de SDSD de origem bovina e a produção de DNases
extracelulares é independente dos genes spd1 e sdn. Os estudos de infeção in vitro e in
vivo revelam que os potenciais de infeção de SDSD são específicos de estirpe e
independentes dos genes de virulência pesquisados. O potencial zoonótico de SDSD é
novamente sugerido uma vez que estirpes de origem bovina foram capazes de infetar
linhas celulares humanas e o zebrafish.
Palavras-chave: Streptococcus dysgalactiae subsp. dysgalactiae, Streptococcus
pyogenes, zoonose, genes de virulência, linhas celulares respiratórias humanas,
zebrafish.
vii
Table of Contents
Page
Publications ...................................................................................................................... iii
Acknowledgements .......................................................................................................... iv
Abstract ............................................................................................................................. v
Resumo ............................................................................................................................ vi
Table of Contents ............................................................................................................ vii
List of Figure ................................................................................................................... ix
List of Tables .................................................................................................................... x
1. Introduction ............................................................................................................... 1
1.1. The Streptococcus genus ...................................................................................... 1
1.1.1. Main Characteristics and Overview .............................................................. 1
1.1.2. Haemolysis ............................................................................................................. 2
1.1.3. Cell Wall Carbohydrate Composition .................................................................... 2
1.1.4. Molecular Identification and Streptococcal Grouping ........................................... 3
1.2. Streptococcal Pathogenesis ....................................................................................... 5
1.2.1. S. pyogenes as a Human Pathogen ......................................................................... 5
1.2.1.1. S. pyogenes Virulence Factors and Phage Encoded Genes .............................. 6
1.2.1.1.1. Extracellular DNases ........................................................................... 7
1.2.1.1.2. Streptococcal Superantigens ................................................................ 9
1.2.1.1.3. Mobile Genetic Elements in S. pyogenes Pathogenesis ..................... 10
1.2.2. S. dysgalactiae subsp. dysgalactiae as an Animal Pathogen ................................ 11
1.2.2.1. Bovine Mastitis ................................................................................................. 11
1.2.2.2. S. pyogenes Encoded Genes in S. dysgalactiae subsp. dysgalactiae ................ 12
1.3. Streptococcus dysgalactiae subsp. dysgalactiae Infectious Potential ...................... 13
1.3.1. Human Normal and Tumoral Respiratory Cells for the study of Streptococcus
Pathogenesis ................................................................................................................... 13
1.3.2. Zebrafish as a Model for Streptococcus Pathogenesis ......................................... 14
viii
1.4. Thesis Objectives .................................................................................................... 15
2. Material and Methods .............................................................................................. 17
2.1. Bacterial isolates identification .......................................................................... 17
2.2. DNA extraction for PCR amplification............................................................... 18
2.3. RNA extraction and cDNA synthesis for reverse transcription and PCR (RT-
PCR) ........................................................................................................................... 19
2.4. Virulence genes PCR screening and expression ................................................. 20
2.5. DNase semi-quantitative assay ........................................................................... 24
2.6. Bacterial growth curve analysis .......................................................................... 24
2.7. In vitro human cell line infection assay .............................................................. 25
2.8. In vivo animal infection assay ............................................................................. 26
3. Results and Discussion ............................................................................................... 29
3.1. Virulence factors screening by PCR and expression by RT-PCR ...................... 29
3.2. Extracellular DNase expression ......................................................................... 36
3.3. Growth curves analysis ....................................................................................... 37
3.4. In vitro human cell line infection assay .............................................................. 38
3.5. In vivo Zebrafish infection assay......................................................................... 43
4. Conclusions .............................................................................................................. 51
5. References ................................................................................................................ 53
6. Annex ....................................................................................................................... 70
ix
List of Figures
Page
Figure 1. Patient with group A streptococcal toxic shock syndrome and necrotizing
fasciitis ............................................................................................................................. 5
Figure 2. Interactions at the tissue site between group A Streptococcus pyogenes and
host during severe deep-tissue infections ........................................................................ 7
Figure 3. Severe peracute mastitis in cattle caused by Klebsiella pneumoniae infection
........................................................................................................................................ 11
Figure 4. Representation of extracellular DNase production by selected strains .......... 37
Figure 5. Growth curve analysis of the three S. dysgalactiae subsp. dysgalactiae
isolates VSD21, VSD23 and VSD24 .............................................................................. 38
Figure 6. Percentage of adhered and internalized (interaction) streptococci in Detroit
562 human cell line. ........................................................................................................ 39
Figure 7. Percentage of adhered and internalized (interaction) streptococci on
bronchial and tracheal epithelial human cell line ........................................................... 41
Figure 8. Zebrafish that died at 24 hours post-injection with S. dysgalactiae subsp.
dysgalactiae VSD24 isolate showing no signs of disease. ............................................. 45
Figure 9. Representative zebrafish that died at 24 hours post-injection with S. pyogenes
GAP58 invasive strain showing signs of disease. ........................................................... 46
Figure 10. Zebrafish survival analysis curves with and without (control; sterile medium
injection) SDSD VSD24 and S. pyogenes GAP58 strain infection ................................ 48
Figure 11. Percentage of adhered and internalized (interaction) streptococci on Detroit
562 and bronchial and tracheal epithelial human cell line. ............................................ 70
x
List of Tables
Page
Table 1- Streptococcal grouping based on 16S rRNA sequencing. ................................ 4
Table 2- Primer sequences, amplicon expected size and PCR control strains for the
Streptococcus pyogenes virulence factors screened in Streptococcus dysgalactiae subsp.
dysgalactiae isolates under study. .................................................................................. 21
Table 3- PCR amplification conditions for the Streptococcus pyogenes virulence factors
screened in Streptococcus dysgalactiae subsp. dysgalactiae isolates under study. ....... 23
Table 4- Streptococcal isolates chosen for the in vitro infection assays based on
virulence genotypes. ...................................................................................................... 25
Table 5- Overview of the 19 Streptococcus dysgalactiae subsp. dysgalactiae isolates
with at least one S. pyogenes virulence gene detected by PCR. .................................... 29
Table 6- Transcription results obtained by RT-PCR of virulence genes detected in 19
SDSD isolates (out of 29 isolates) with at least one S. pyogenes phage virulence gene 30
Table 7- Overview of the farms and virulence gene distribution of the Streptococcus
dysgalactiae subsp. dysgalactiae isolates ...................................................................... 32
Table 8- Distribution (%) of group A Streptococcus pyogenes (GAS) virulence genes in
Streptococcus dysgalactiae subsp. dysgalactiae collections isolates in 2002-2003 and
2011-2013. ..................................................................................................................... 33
Table 9- In vivo infection of Streptococcus dysgalactiae subsp. dysgalactiae VSD24
and S. pyogenes invasive GAP58 strains in zebrafish ................................................... 44
Table 10- Zebrafish infection assay statistical analysis comparison between S.
dysgalactiae subsp. dysgalactiae and sterile medium, and S. pyogenes GAP58 infection
controls ........................................................................................................................... 50
xi
Table 11. Streptococcus dysgalactiae subp. dysgalactiae isolates from the 2002-2003
collection chosen for the in vitro infection assays based on their Group A S. pyogenes
(GAS) virulence genes detected ..................................................................................... 70
1
1. Introduction
1.1. The Streptococcus genus
1.1.1. Main Characteristics and Overview
Bacteria from the Streptococcus genus are gram-positive, spherical or ovoid shaped
(cocci) in pairs or chains and do not have motility neither the capability to form spores
(Hardie and Whiley, 1997). They are also catalase negative and facultative anaerobic,
with some requiring atmospheric CO2, being homofermentative producing L-lactic acid
as their main product of glucose fermentation (Hardie and Whiley, 1997).
It is important to differentiate the different streptococcal species since their distribution
and health implications are broad (Facklam, 2002; Hardie and Whiley 1997). Generally,
streptococcal species are mainly present as flora of human and animal mucosal surfaces,
such as the gastrointestinal and upper respiratory tracts, and skin (Krzyściak et al.,
2013). Some species associated with humans and/or animals can pose a threat to their
health since they might become opportunistic pathogens and cause an array of diseases
in individuals with weak immune systems (Krzyściak et al., 2013).
Other Streptococcus species that are typically pathogenic to humans are Streptococcus
pyogenes, the most pathogenic bacteria of the genus, and Streptococcus pneumonia
(Krzyściak et al., 2013). The former known for causing pharyngitis, impetigo and
severe invasive diseases, and the latter for community-acquired pneumonia and
meningitis among other diseases (Cunningham, 2000; Facklam et al., 2002). As for
known animal pathogens, Streptococcus agalactiae, Streptococcus uberis and
Streptococcus dysgalactiae subsp. dysgalactiae are well described as being associated
with bovine mastitis (Lundberg et al., 2014).
2
1.1.2. Haemolysis
Streptococcal haemolysis is one of the main phenotypic characteristics which, in
coordination with other methods, help identify the different species of the genus based
on haemolytic reactions on blood agar medium.
β-haemolysis is characterized by a clear translucent halo surrounding in vitro colonies
on blood agar plates and can be used as the preliminary identification method for S.
pyogenes (Molloy et al., 2014). Streptolysins, as other cholesterol-dependant cytolysins,
are toxins secreted by the bacterial cells that bind to cholesterol-containing cell
membranes, such as erythrocytes, and oligomerize to create pores by insertion into the
lipid bilayer leading to osmotic cell lysis of the host (Barnett et al., 2015; Molloy et al.,
2014).
Another type of haemolysis, α-haemolysis, is characterized by a green halo surrounding
in vitro colonies on blood agar plates (Facklam, 2002). This type of haemolysis can also
be used for presumptive identification of species of the Streptococcus genus, such as
Streptococcus dysgalactiae subsp. dysgalactiae, relies on partial erythrocyte haemolysis
(Facklam, 2002). Other streptococcal species incapable of producing haemolysis on
blood agar plates are said to be γ-hemolytic or non-hemolytic (Facklam, 2002;
Patterson, 1996).
1.1.3. Cell Wall Carbohydrate Composition
Streptococcal species are frequently differentiated on the basis of their cell wall
carbohydrate composition through a classification method based on the precipitin test
developed by Lancefield (1933). This classical classification method is possible due to
the existence of different group carbohydrate antigens composed of one or more sugars
which, after extraction from the cell-wall, and by agglutination with the appropriate
antiserum, causes the visual precipitation of the cell extract (Facklam et al., 2002;
Lancefield, 1933; Slade and Slamp, 1962).
There are 17 different serological groups spanning from A-H and K-S, with rhamnose
being present in antigens of strains in all groups with the exception of group O
3
Streptococcus (Slade and Slamp, 1962). It is known that group A Streptococcus (GAS)
and group C Streptococcus (GCS) strains have group carbohydrate antigens mainly
composed of rhamnose (Slade and Slamp, 1962). Nowadays there are commercially
available Lancefield grouping kits that permit rapid grouping of Streptococci by
polystyrene (latex) microparticle agglutination, coated with group specific antibodies,
when challenged with the corresponding cell-wall antigen extract (Facklam et al., 1979;
Lue et al., 1978).
1.1.4. Molecular Identification and Streptococcal Grouping
Throughout the years some of the most used molecular identification methods for
streptococcal genera and species have been DNA-DNA hybridization and small subunit
(16S) rRNA sequencing (Facklam, 2002). The latter method is based on the sequencing
and alignment comparison of portions of the 16S rRNA gene and has helped define 6
different main streptococcal groups; the Pyogenic, Anginosus, Mitis, Salivarius, Bovis
and Mutans (Bentley et al., 1991; Kawamura et al., 1995). Some authors suggest a
seventh group with species that do not fit in any of the previous defined groups (Gao et
al., 2014).
The pyogenic group comprises species isolated from humans and other animals
(Facklam, 2002). This group is very broad as there are human pathogens such as S.
pyogenes and Streptococcus dysgalactiae subsp. equisimilis (also an animal pathogen),
and animal pathogens such as S. agalactiae (also a human pathogen), Streptococcus
dysgalactiae subsp. dysgalactiae and Streptococcus uberis (Facklam, 2002). The
Anginosus group comprises species isolated from the human urogenital and
gastrointestinal tracts, such as Streptococcus anginosus, and only from the respiratory
tract such as Streptococcus constelatus subsp. constelatus (Facklam, 2002). Lancefield
grouping of these species is difficult as there are strains from both species with group A,
C, F and G carbohydrate antigens and even non-groupable (Facklam, 2002). The Mitis
group includes several known streptococcal species isolated from the human respiratory
tract, mainly the oral cavity (Facklam, 2002). This group comprises Streptococcus mitis,
a human commensal organism of the oropharynx that can become opportunistic, and
Streptococcus pneumoniae, a human colonizing pathogen of the upper respiratory tract
4
such as the naso-oropharynx and responsible for acute otitis media and pneumonia
(Facklam, 2002; Gossling, 1988; Kadioglu et al., 2008; Mitchell, 2010). The Salivarius
group comprises species isolated from the oral cavity of humans and animals (Facklam,
2002). The Bovis group contains species found in animals and humans, with
Streptococcus bovis being present in the gut and causing endocarditis, gastrointestinal
diseases and being implied in colon cancer (Galdy and Nastasi, 2012). The Mutans
group comprises species found in the oral cavity of humans and other animals and
include Streptococcus mutans which is known to lead to human caries (Facklam, 2002).
Table 1 shows an overview of the six defined groups and its most important species
with their main characteristics (Barnard and Stinson, 1996; Bentley et al., 1993;
Bramley, 1984; Facklam 1974; Facklam, 2002; Grinwis et al., 2010; Kadioglu et al.,
2008; Kilian et al., 1989; Ruoff et al., 1984).
Table 1. Streptococcal grouping based on 16S rRNA sequencing.
Group Species Lancefield
group Haemolysis Origin
Pyogenic S. pyogenes A β- Human
S. agalactiae B β- Human, bovine
S. dysgalactiae
subsp. dysgalactiae C α- Animals
subsp. equisimilis A, C, G, L β- Human, animal
S. uberis E, C, D, P, U,
N/G γ- Bovine
S. equi
subsp. equi C β- Horse
subsp. zooepidemicus C β- Human, animals
Anginosus S. anginosus A, C, F, G,
N/G β-, N/ β- Human
S. constellatus
subsp. pharyngis C β- Human
Mitis S. pneumoniae N/G α- Human
S. mitis O, K α- Human
S. gordonii H α- Human
Salivarius S. salivarius N/G γ- Human
Bovis S. bovis D γ- Human, animals
Mutans S. mutans E, F, K, N/G α-, β-, γ- Human
N/G – non-groupable; N/ β – non-β-haemolytic
5
1.2. Streptococcal Pathogenesis
1.2.1. S. pyogenes as a Human Pathogen
As the most pathogenic bacteria of the Streptococcus genus, the β-hemolytic group A S.
pyogenes (GAS) can cause a variety of severe diseases (Lamagni et al., 2008). S.
pyogenes can colonize the throat and skin of humans, being the most common cause of
bacterial pharyngitis, the causal agent of impetigo and scarlet fever, and acute rheumatic
fever (Barnett et al., 2015; Cunningham, 2000; Facklam, 2002). Primary focal sites of
infection are precisely these tissues which are also the primary reservoirs of
transmission (Efstratiou, 2000). Diseases caused by this pathogen vary from superficial
infections such as pharyngitis, skin and soft tissue infections and erysipelas to more
severe infections such as deep soft tissue infections, cellulites, necrotizing fasciitis,
sepsis, pneumonia or meningitis (with the possibility of fatal consequences for the latter
three). Moreover, toxin-mediated diseases such as scarlet fever and toxic-shock
syndrome, and immunologically mediated diseases such as rheumatic fever and post-
streptococcal glomerulonephritis (which can also be toxin-mediated) are also caused by
S. pyogenes (Barnett et al., 2015; Cunningham, 2000; Efstratiou, 2000).
Figure 1. Patient with group A streptococcal toxic shock syndrome and necrotizing fasciitis. Adapted
from Johansson et al. (2010).
6
The severity and type of disease depends on the afflicted tissue, may it be mucous
membranes, tonsils, skin or deeper tissues, immunological state of the carrier and the
bacteria itself, as it can carry a variety of virulence factors responsible for its
pathogenicity (Barnett et al., 2015; Cunningham, 2000). Development of post-
streptococcal infection sequelae include rheumatic fever, acute glomerulonephritis and
reactive arthritis, with the former being the most serious autoimmune sequelae of S.
pyogenes even causing death (Cunningham, 2000).
1.2.1.1. S. pyogenes Virulence Factors and Phage Encoded Genes
Many of the previously mentioned diseases caused by S. pyogenes pathogenesis are due
to the existence of several virulence factors (Barnett et al., 2015). As stated above,
toxic-shock and invasion of soft tissues and skin, and necrotizing fasciitis are examples
of this.
Virulence factors such as the streptococcal pyrogenic exotoxins and other
superantigens, DNases and streptodornases, and adhesins are well known factors
responsible for S. pyogenes pathogenicity (Steer et al., 2012).
7
Figure 2. Interactions at the tissue site between group A Streptococcus pyogenes and host during severe
deep-tissue infections. Mechanisms involved in microbial immune evasion: 1 – Degradation of host
immune effector molecules; 2 – Intracellular persistence within phagocytic cells; 3 – Protection against
antimicrobial molecules; 4 – Degradation of neuthrophil extracellular traps (NETs) by extracellular
DNases. Mechanisms involved in host tissue injury: Degradation of ECM proteins by SpeB; Induction of
an excessive inflamatory response through the activation of T cells, neuthrophils and antigen presenting
cells (APCs) mediated by superantigens (Sags) and soluble M1 protein (sM1). Adapted from Johansson et
al. (2010).
1.2.1.1.1. Extracellular DNases
Many species of bacteria have the ability to synthesise extracellular deoxyribonucleases
(DNases) which can be anchored to its surface or secreted (Jakubovics et al., 2013).
These enzymes may have a variety of applications.
One of the characteristics of this type of DNases is the bacteria ability to control biofilm
growth since extracellular DNA is a major structural component of microbial biofilms
(Jakubovics et al., 2013). Microbial extracellular nucleases also help other
8
microorganisms to find sources of carbon, nitrogen and phosphorous in released
nucleotides from degraded extracellular DNA (Jakubovics et al., 2013). EndA, a cell
anchored DNase, has the ability to nick extracellular double-stranded DNA into single-
stranded for uptake during bacterial transformation (Jakubovics et al., 2013).
But perhaps the most important characteristic of extracellular DNases in bacterial
pathogenesis is helping with evasion from the innate immune system of the host
(Brinkman et al., 2004). During an inflammatory infection neuthrophils migrate from
the blood to the infected tissues and can either phagocyte the pathogen or release
extracellular nets, termed Neutrophil Extracellular Traps (NETs) which are independent
from the phagocytic uptake (Brinkmann et al., 2004; Buchanan et al., 2006). With a
fibrous structure, NETs are composed of granule and nuclear constituents such as
proteins and DNA, being the former its major structural component (Hahn et al., 2013).
These traps can capture, preventing microbe spreading, and kill bacteria upon delivery
of antimicrobial molecules and can also degrade their virulence factors (Brinkmann et
al., 2004). To evade this immune mechanism and maintain spreading through other
tissues some bacteria, such as S. pyogenes and S. pneumoniae, synthesize extracellular
DNases. Streptococcal DNases are referred to as streptodornases (Aziz et al., 2004).
Evasion of S. pneumoniae relies on the aforementioned enzyme, EndA (Beiter et al.,
2006). As for S. pyogenes, it is known that all strains produce at least one and most
isolates can produce two or more DNases (Ferreira et al., 1992; Sumby et al., 2005).
These are DNase A (Spd3), DNase B (SdaB), DNase C (Spd1) and DNase D (SdaD)
with 4 known homologs for the latter (Sda, Sda1, Sdn and Sdα). All except DNase B are
phage-encoded. In S. pyogenes M1T1 strain, synthesis of Sda1 is essential for NET
evasion (Aziz et al., 2004; Buchanan et al., 2006).
Spd1, formerly known as DNase C, is a monomeric ββα-metal dependant endonuclease
encoded by the spd1 gene located, in linkage with speC, on multiple phage genomes
such as Φ370.1, Φ10750.1, Φ8232.2, Φ6180.1, Φ10270.1, man.4, Φ10394.5, Φ9429.1
and Φ2096.1.(Beres and Musser 2007; Korczynska et al., 2012). Once the target DNA
or RNA contacts the binding site within the structure of Spd1, its nucleotide 5’-
phosphate is cleaved in a non-specific manner (Korczynska et al., 2012).
9
1.2.1.1.2. Streptococcal Superantigens
Streptococcal superantigens are a class of the Gram-positive bacterial superantigens
(SAgs) that can lead to life-threatening systemic disease by toxic shock syndrome, and
scarlet fever (Fraser and Proft, 2008; Okumura et al., 2012). With eleven known
streptococcal superantigens spread throughout S. pyogenes genomes, they act as
crosslinkers between the histocompatibility complex class II (MHC-II) and TCD4-cell
receptors (TCR) causing the stimulation of T-cells and increased cytokine secretion,
such as IL-2, IFN-γ and TNF-α (Barnett et al., 2015; Okumura et al., 2012). After the
binding of SAgs to MHC-II, it concentrates stably onto the antigen presenting cell
surface (such as B-cells, monocytes and dendritic cells) until its surface concentration is
sufficient to successively engage and cross-link multiple TCR molecules, resulting in
strong TCR signalling and rapid cytokine production (Barnett et al., 2015; Fraser and
Proft, 2008).
SAgs such as the streptococcal pyrogenic exotoxins C (encoded by the speC gene), H
(speH), K (speK), L (speL), M (speM) and the streptococcal mitogenic exotoxin Z
(smeZ) have a zinc binding site, and bind to the MHC-II β-chain domain and to the TCR
variable region of the β-chain (Vβ) (Barnett et al., 2015; Fraser and Proft, 2008).
As termed in literature, SpeB, encoded by speB, does not act as a superantigen itself,
being instead a multifunctional cysteine protease that regulates other SAgs at the protein
level through proteolysis, and degrades immunoglobulins (in vitro), complement
components and host extracellular matrix proteins potentially resulting in deeper tissue
damage (Barnett et al., 2015; Fraser and Proft, 2008). Another function of this molecule
is its binding activity to laminin and other glycoproteins when anchored to the
streptococcal surface acting as an adhesin (Hytönen et al., 2001). Another interesting
superantigen is SpeF, also having DNase activity and being characterized as the
streptodornase SdaB (DNaseB) (Aziz et al., 2004; Eriksson et al., 1999).
The majority of these superantigens, particularly of S. pyogenes, are located mainly on
prophages (bacteriophage genome inserted in the bacterial chromosome during the
10
lisogenic cycle), and in other genetic mobile elements (MGE) (Fraser and Proft, 2008)
The role of MGE in streptococcal pathogenesis is discussed bellow.
1.2.1.1.3. Mobile Genetic Elements in S. pyogenes Pathogenesis
Mobile genetic elements (MGE) have an important role in streptococcal pathogenesis,
in this particular case, in S. pyogenes. Many virulence factors such as superantigens,
DNases, adhesins and even antibiotic resistance associated genes can be carried on
numerous exogenous elements such as prophages, plasmids and pathogenicity islands,
and can be transferred between different bacterial species by horizontal gene transfer
(Pallen and Wren, 2007).These genetic elements are usually distinct from the bacterial
chromosome in terms of nucleotide composition, mainly in their GC% content,
indicating their exogenous nature from organisms not so closely related with the
Streptococcus genus, and thus, generate genetic diversity (Beres and Musser, 2007;
Reznikoff, 2003). This acquisition of genetic material provides an increased fitness for
the recipient, acting as a selective advantage (Beres and Musser, 2007).
In S. pyogenes an example of an important MGE is the chimeric element
Tn1207.3/Φ10394.4. Two important related genetic structures are the 52.5 kb
conjugative transposon Tn1207.3 (conjugative prophage by some authors), which has a
complete copy of the Tn1207.1 defective transposon found in S. pneumoniae, and the
58.8 kb Φ10394.4 prophage, which also contains a complete copy of the same
transposon (D’Ercole et al., 2005; Iannelli et al., 2014; Santagati et al., 2003). Both
carry the macrolide efflux pump mef(A) gene since it is present in Tn1207.1 (Santagati
et al., 2003). Furthermore, a third tet(O)-mef(A) structure, conferring both resistance to
tetracycline and macrolides, is also related with Tn1207.3/Φ10394.4 family (Brenciani
et al., 2004). As stated above, other virulence genes such as speC (pyrogenic exotoxin
C) and spd1 (DNase1) can be found in linkage on the same prophage genome and be
co-expressed upon bacteriophage induction (Beres and Musser 2007; Broudy et al.,
2002). Gene linkage has also been reported in regards to speL-speM genes and
associated with Φ8232.3 phage (Beres and Musser, 2007).
11
1.2.2. S. dysgalactiae subsp. dysgalactiae as an Animal Pathogen
As one of the most common isolated bovine pathogens, Streptococcus dysgalactiae
subsp. dysgalactiae is an α-haemolytic group C Streptococcus (Abdelsalam et al., 2015;
Lundberg et al., 2014). Although mainly associated with bovine disease, such as
mastitis, S. dysgalactiae subsp. dysgalactiae is also a known cause of ovine mastitis and
an emerging fish pathogen (Abdelsalam et al., 2013; Lacasta et al., 2008; Nomoto et al.,
2008). Other diseases such as bacteremia, meningoencephalitis and polyarthritis in
sheep, polyarthritis in goats, and even neonatal death in dogs have also been reported
(Lacasta et al., 2008; Vela et al., 2006).
1.2.2.1. Bovine Mastitis
Bovine mastitis is a disease characterized by the inflammation of the mammary gland
(intramammary infection) and is the most devastating disease in terms of world
economic losses related to dairy products (De Vliegher et al., 2012; Seegers et al.,
2003). It can occur due to a number of varying microorganisms, depending
geographically on the farm studied and including bacteria, namely Streptococcus
agalactiae, S. dysgalactiae subsp. dysgalactiae, Streptococcus uberis, Staphylococcus
aureus, Coagulase-negative staphylococci and even Escherichia coli (Bradley, 2002;
Contreras and Rodríguez, 2011; Lundberg et al., 2014; Waage et al., 1999; Zadocks and
Fitzpatrick, 2009).
Figure 3. Severe peracute mastitis in cattle caused by Klebsiella pneumoniae infection. Adapted from
Ribeiro et al. (2008).
12
If the invading bacteria pass successfully through the anatomical barriers of the teat,
such as the sphincter muscle and the keratinized epithelium, then it reaches the interior
of the udder where the innate and acquired immune responses occur (Oviedo-Boyso et
al., 2007). This can lead to infection and inflammation of the teat tissue (Oviedo-Boyso
et al., 2007). The disease can then be distinguished between clinical and subclinical
mastitis. The former being characterized by the presence of visible symptoms (abnormal
milk, inflammation, etc.) and the latter by the visual absence of these (De Vliegher et
al., 2012).
Due to its clinical and subclinical manifestations, the disease may result in reduction of
milk yield, which in turn is the main factor for the economic loss, and changes in milk
composition related to a decrease in fats, lactose and casein, and increase in blood
elements (serum albumin, immunoglobulins, somatic cells such as leukocytes and
epithelial cells), chloride and sodium (Hortet and Seegers, 1998; Oviedo-Boyso et al.,
2007; Wellnitz and Bruckmaier, 2012). These effects place the farmers at a loss since
less milk is sold and some is discarded due to altered composition (Blosser, 1979).
Other factors that can cause economic deficit are the discarded milk from antibiotic
treated cows, which cannot be put into the market, cow treatment services and drugs
costs (Blosser, 1979). Moreover, subclinical mastitis infected animals are at risk for
pathogen spreading within and between herds (Persson et al., 2011).
1.2.2.2. S. pyogenes Encoded Genes in S. dysgalactiae subsp.
dysgalactiae
Recently, S. dysgalactiae subsp. dysgalactiae strains carrying S. pyogenes virulence
factors, such as superantigens, DNases, as well as antibiotic resistance genes, have been
found (Rato et al., 2010). Some of the reported genes were phage and transposon-
associated which was suggested to increase the virulence potential of S. dysgalactiae
subsp. dysgalactiae since some of these genes are involved in S. pyogenes pathogenesis
in humans (Rato et al., 2011). Moreover S. dysgalactiae subsp. dysgalactiae has been
found in blood cultures from a human cellulitis case, following an index finger puncture
from a fish dorsal fin, and in a human infective endocarditis case (Jordal el al., 2015;
Koh et al., 2009). Another human case in which this species was isolated from purulent
13
exudate obtained from the knee of a patient after total knee arthroplasty was also
reported (Park et al. 2012).The abovementioned publications and reports point towards
the possibility of S. dysgalactiae subsp. dysgalactiae, an exclusively animal pathogen,
being a potential zoonotic pathogen.
1.3. Streptococcus dysgalactiae subsp. dysgalactiae Infectious Potential
1.3.1. Human Normal and Tumoral Respiratory Cells for the study of
Streptococcus Pathogenesis
Since many streptococcal species can colonize the respiratory tract such as the throat of
humans and cause severe diseases, it is important to study the in vitro infectious
potential on multiple types of human cell lines from this tract.
The respiratory tract is covered by continuous epithelial tissue and can be divided into
three zones; the upper respiratory tract with the oral and nasal cavities, the lower
respiratory tract with the larynx, trachea and bronchi, and the distal respiratory tract
with the respiratory bronchioles and alveoli (BéruBé et al., 2009).
In vitro normal primary cell lines are usually used in order to replicate in vivo cell
physiology due to their direct isolation from the organism (BéruBé et al., 2010). Once
isolated, they can undergo a limited number of cell divisions before senescence while
the original in vivo genetic background remains the same (Masters, 2000). Contrary to
primary cells, tumoral cells are continuous and have the advantage of being infinitely
maintained through successive cell divisions (Masters, 2000). The cost of this
characteristic is the possibility of genetic background changes, which can over time lead
to changes in the original cell phenotype and genotype (Masters, 2000).
Bacterial pathogenesis using Streptococcus species have already been systematically
studied using both types of cell lines, such as normal primary bronchial/tracheal
epithelial cells and the pharyngeal carcinoma epithelial cells Detroit 562
(ATCC® CCL138™) with good results, making them good in vitro models for
14
streptococcal infection and pathogenesis studies (Broudy et al., 2001; Broudy et al.,
2002; Mushtaq et al., 2011; Okahashi et al., 2014; Ryan et al., 2001).
1.3.2. Zebrafish as a Model for Streptococcus Pathogenesis
Danio rerio, commonly termed zebrafish, is an animal model for the human study of
embryogenesis, organ development, developmental diseases and microbe infection
(Miller and Neely, 2004). Adult zebrafish have well-developed innate and adaptive
immune systems resembling the human since the latter system evolved prior to the
evolutionary divergence between fishes and other vertebrates (Meeker et al., 2008;
Saralahti et al., 2015). Both have T-cells, B-cells, antigen presenting cells and
phagocytic cells (Saralahti et al., 2015). Furthermore, some granulocytes in zebrafish
have behaviour similar to neutrophils in humans, when they migrate from the blood to
the infected tissues during an inflammatory infection (Miller and Neely, 2004).
Other immune system components such as immunoglobulins (IgD, IgM and IgZ),
cytokines and complement, and even gene homologs to mammalian genes encoding
cytokines and MHC complex molecules, are present (Lewis et al., 2014; Saralahti et al.,
2015).
In addition to its immune system, zebrafish has a number of advantages in regards to
other animal models. These lie on its inexpensiveness compared with mammals as
models, easy maintenance and small work space need due to its small size, rapid organ
development, and easy breeding (Saralahti et al., 2015). Its small size also gives access
to the disease progression in the whole animal after transverse section during
histological analysis (Saralahti et al., 2015).
Many streptococcal species such as Streptococcus iniae, Streptococcus agalactiae and
even S. pyogenes have been studied using this model for human disease (Saralahti et al.,
2015).
Streptococcus iniae, a natural fish pathogen responsible for high mortality in
aquaculture, has the ability to cause, in fish, localized skin infections similar to S.
15
pyogenes in humans, and multi-organ systemic infections similar to S. agalactiae and S.
pneumonia also in humans (Meeker et al., 2008; Saralahti et al., 2015). S. iniae is also
capable of causing cellulitis in humans, similar to an S. pyogenes infection (Saralahti et
al., 2015).
The pathogenesis of the major human pathogens S. pyogenes and S. pneumoniae have
been studied using zebrafish as model. The former is capable of causing disease in
zebrafish similar to human necrotizing fasciitis (Saralahti et al., 2015). In the latter case
it has been demonstrated that zebrafish can immunological respond to S. pneumonia
infection and eradicate invading bacteria which has been helpful particularly for the
innate immune system study (Saralahti et al., 2014; Saralahti et al., 2015).
Together, these characteristics accentuate the importance of this animal model in the
study of human disease by streptococcal species, thus helping in the study of the
zoonotic potential of animal pathogens such as the potential emerging zoonotic
pathogen S. dysgalactiae subsp. dysgalactiae as suggested (Jordal el al., 2015; Koh et
al. 2009, Rato et al., 2010).
1.4. Thesis Objectives
S. dysgalactiae subsp. dysgalactiae has been considered as an exclusively animal
pathogen. However, recently there were found S. pyogenes virulence genes of phage
origin encoded in the S. dysgalactiae subsp. dysgalactiae genome (Rato et al., 2011)
and it was pointed out that this subspecies should not be disregarded as a human
pathogen and suggested to be an emerging zoonotic pathogen. Lacasta et al. (2008) and
Ryan et al. (1991) suggested that the animal digestive tract might be a pathway for S.
dysgalactiae subsp. dysgalactiae transmission and infection which highlights the
possibility of animal to human transmission via infected cow milk since bovine mastitis
is a disease also caused by this bacteria.
Identification of S. dysgalactiae subsp. dysgalactiae associated with human infections
such as cellulitis, endocarditis and joint infection have been reported. These cases seem
16
to be rare and the role of this species in human pathogenesis remains unclear, which
motivates further investigation in S. dysgalactiae subsp. dysgalactiae to assess if
zoonotic potential exists.
It is not evident if carriage of S. pyogenes phage virulence genes is shared by different
S. dysgalactiae subsp. dysgalactiae strains suggesting a species-specific feature. One of
the goals of this thesis is to detect the presence and expression of S. pyogenes virulence
determinants, among contemporary S. dysgalactiae subsp. dysgalactiae isolates
obtained from milk samples collected from dairy herds between 2011-2013 in Portugal
and compare the virulence gene patterns with the ones previously known of a collection
of S. dysgalactiae subsp. dysgalactiae, isolated in 2002-2003 and previously
characterized by Marcia et al. (2010). Another goal of this thesis is to evaluate the
infection potential of S. dysgalactiae subsp. dysgalactiae isolates (selected based on
virulence gene profiling), in vitro, using human respiratory cell lines and in vivo, using
the zebrafish as an animal model for the study of streptococcal infections in humans.
17
2. Material and Methods
2.1. Bacterial isolates identification
The isolates used in this study belong to a group of 29 alpha-haemolytic Group C
Streptococcus (GCS) S. dysgalactiae subsp. dysgalactiae (SDSD) strains isolated from
milk samples of bovines from dairy herds in Portugal between 2011 and 2013. The
strains were provided by Ricardo Bexiga (Faculty of Veterinary Medicine, University of
Lisbon).
The presumptive identification of the isolates was performed by traditional phenotypic
tests based on colony morphology, type of haemolysis in Columbia Blood Agar Base
(Oxoid Ltd, Basingstoke, England) supplemented with 5% sheep blood (Probiológica,
Lisbon, Portugal) (BAP), Lancefield group identification with SLIDEX Strepto Plus
(Biomérieux, Marcy-l'Étoile, France) and species and subspecies identified as S.
dysgalactiae subsp. dysgalactiae by PCR amplification and sequencing using generic
primers for gram-positive bacteria of the 16S rRNA (forward:
AGAGTTTGATCCTGGCTC; reverse: GGTTACCTTGTTACGACTT) (Takahashi et
al., 1997). Automatic sequencing of the 1.2 kb PCR amplicon was performed on both
DNA strands (STAB Vida, Lisbon, Portugal).
The DNA sequences were analyzed using the CLC Genomics Workbench
7.0.4 alignment program editor (QIAGEN, Venlo, Netherlands) and then compared with
sequences from the National Center for Biotechnology Information (NCBI) database
using the Basic Local Alignment Search Tool (BLAST)
(www.ncbi.nlm.nih.gov/BLAST). The species and subspecies identification was carried
out by Cynthia Alves Barroco (Ph.D. Student, Dept. Life Sciences. UCIBIO, Faculty of
Science and Technology, NOVA University of Lisbon).
In this thesis, the same methods described above were performed to facilitate
familiarization to these laboratory techniques and to obtain duplicate cultures for long-
18
term storage at -80ºC in Todd-Hewitt liquid medium (Oxoid Ltd, Basingstoke, England)
and 30% of glycerol (VWR, Pennsylvania, USA).
2.2. DNA extraction for PCR amplification
DNA was extracted from each isolate based on a boiling method (Klugman et al., 1998)
in which the isolates were initially grown in BAP with one pure colony being retrieved
and streaked in Todd-Hewitt (Oxoid Ltd, Basingstoke, England) agar (Liofilchem
S.R.L., Roseto degli Abruzzi, Italy) supplemented with 1% (w/v) yeast extract (Oxoid
Ltd, Basingstoke, England) (THA). Colonies on THA were ressuspended in 10 mM
Tris-HCl pH 8.0 buffer and boiled to 100°C for 10 min. After the boiling step each
sample was put in ice, to further facilitate cell lysis by thermal shock, and centrifuged at
13000 rpm for 10 min. Supernatants containing DNA were retrieved and stored at -20°C
until needed. DNA concentration (at A260nm) and purity (A260nm/280nm and
A260nm/A230nm) was assessed using NanoDrop 1000 Spectrophotometer (Thermo
Fisher Scientific Inc, Waltham, United States of America).
Measurements of DNA samples at A260 were converted to concentration using the
Beer-Lambert equation A=.c.l (Sambrook J and Russel D, 2001) where A is the
absorbance at 260 nm (A260 value); is the standard molar extinction coefficient for
dsDNA (0.020 g/mL in a 1 cm cuvette); c is the concentration and l is the 1 cm light
pathlenght.
The ratios of A260nm/280nm and A260nm/A230nm were used to assess the purity of
DNA. A value of 1.8 of the ratio A260nm/280nm and a value range of 1.8-2.2 of the
ratio A260nm/230nm were considered to infer the purity of the DNA samples. When
the values obtained for these ratios were superior or inferior to the expected range, new
DNA extractions were conducted.
To assess correct PCR procedure, 16S rRNA was amplified as internal control, for each
DNA sample, and DNA integrity was evaluated in a 1% (w/v) agarose gel
electrophoresis prepared in 1X Tris-Acetate-EDTA buffer (TAE).
19
2.3. RNA extraction and cDNA synthesis for reverse transcription and
PCR (RT-PCR)
All isolates were initially grown in BAP with pure colonies being retrieved and
ressuspended in Todd-Hewitt broth supplemented with 1% (w/v) yeast extract (THB)
and cultured at 37ºC overnight. After approximately 17 hours of incubation each
bacterial culture isolate was diluted to 0.05 optical density at 600 nm (OD600) in THB
and incubated at 37ºC until 0.5-0.6 OD600. The cells were centrifuged (at 9000 rpm for
10 minutes at room temperature) and the pellet was used for RNA extraction using the
NucleoSpin RNA kit (Macherey-Nagel GmbH & Co. KG, Düren, Germany)
accordingly with the manufacturer instructions. RNA concentration (A260nm) and
purity (A260nm/280nm and A260nm/A230nm) was assessed using NanoDrop 1000
Spectrophotometer.
Measurements of RNA samples at A260 were converted to concentration using the
Beer-Lambert equation A=.c.l where A is the A260 value; is the standard molar
extinction coefficient for ssRNA (0.025 g/mL in a 1cm cuvette); c is the concentration
and l is the 1 cm light pathlenght.
The ratios of A260nm/280nm and A260nm/A230nm were used to assess the purity of
RNA. A value of 2.0 of the ratio A260nm/280nm and a value range of 1.8-2.2 of the
ratio A260nm/230nm were considered to infer the purity of the RNA samples.
If the values obtained for these ratios were superior or inferior to the expected range,
new RNA extractions would be conducted.
cDNA was generated by reverse transcription of the extracted RNA with the NZY First-
Strand cDNA Synthesis Kit (NZYTech, Lisbon, Portugal) and the resulting cDNA were
used as template for PCR. To assess correct RT-PCR procedure, 16S rRNA was
amplified as internal control, for each cDNA sample, and integrity was evaluated in a
1% (w/v) agarose gel electrophoresis prepared in 1X TAE
20
2.4. Virulence genes PCR screening and expression
The following genetic determinants of group A Streptococcus pyogenes (GAS): speB,
speC, speF, speH, speK, speL, speM, smeZ, spd1 and sdn encoding a cysteine protease,
7 superantigens, and 2 extracellular nucleases were screened in all the 29 S.
dysgalactiae subsp. dysgalactiae isolates by PCR. Two Tn1207.3/Φ10394.4 sequences,
a right junction (RJ) and a left junction (LJ) between this family of chimeric elements
and its chromosomal insertion site, were also screened by PCR to infer the presence of
either Tn1207.3 transposon or Φ10394.4 phage, depending on the size of the LJ
amplicon (453 bp for the transposon or 6807 bp for the phage).
Primer sequences and amplicon expected sizes are listed in Table 2. For each 25 μL
PCR reaction mixture were added 1 μL of bacterial DNA, 1X reaction buffer for
NZYTaq DNA polymerase, 2.5 mM MgCl2, 0.4 mM dNTPs NZYMix, 1U NZYTaq
DNA polymerase (NZYTech, Lisbon, Portugal) and 1 μM of each primer (Thermo
Fisher Scientific, Waltham, United States of America). PCR conditions for
amplification of all the genetic determinants are listed in Table 3.
Negative results were confirmed after at least two repetitive results.
Table 2. Primer sequences, amplicon expected size and PCR control strains for the Streptococcus pyogenes virulence factors screened in Streptococcus
dysgalactiae subsp. dysgalactiae isolates under study.
Virulence factor Location Primer sequence (5’-3’)
Amplicon
expected
size
(bp)
Ref. Species/
Control Strain
Cysteine protease (speB) Chromosome for.: TTCTAGGATACTCTACCAGC
rev.: ATTTGAGCAGTTGCAGTAGC 300
Jasir et al.
(2001)
S. pyogenes
S13
Streptococcal pyrogenic
exotoxin C (speC) Phage
for.: GCAGGGTAAATTTTTCAACGACACACA
rev.: TGTGCCAATTTCGATTCTGCCGC 407 Rato (2011)
S. dysgalactiae
subsp.
dysgalactiae
VSD13
Streptococcal pyrogenic
exotoxin F (speF) Chromosome
for.: TACTTGGATCAAGACG
rev.: GTAATTAATGGTGTAGCC 782
Schmitz et
al. (2003)
S. pyogenes
S13
Streptococcal pyrogenic
exotoxin H (speH) Phage
for.: TCTATCTGCACAAGAGGTTTGTGAATGTCC
rev.: GCATGCTATTAAAGTCTCCATTGCCAAAA 338 Pires (2011)
S. pyogenes
GAS 1002
Streptococcal pyrogenic
exotoxin K (speK) Phage
for.: TACAAATGATGTTAGAAATCCAAGGAACATATATGCT
rev.: CAAAGTGACTTACTTTACTCATATCAATCGTTTC 656 Rato (2011)
S. dysgalactiae
subsp.
dysgalactiae
VSD13
Streptococcal pyrogenic
exotoxin L (speL) Phage
for.: CTGTTAGGATGGTTTCTGCGGAAGAG
rev.: AGCACCTTCCTCTTTCTCGCCT 605 Rato (2011)
S. dysgalactiae
subsp.
dysgalactiae
VSD13
Streptococcal pyrogenic
exotoxin M (speM) Phage
for.: CCAATATGAAGATAACAAAGAAAATTGGCA
rev.: CAAAGTGACTTACTTTACTCATATCAATCG 600 Rato (2011)
S. dysgalactiae
subsp.
dysgalactiae
VSD13
Streptococcal mitogenic
exotoxin Z (smeZ) Chromosome
for.: CAGATATAGTAATTGATTTTA
rev.: AGCTAGAACCAGAAGAATAT 399
Darenberg et
al. (2007)
S. pyogenes
GAP58
Streptodornase (sdn) Phage for.: ACCCCATCGGAAGATAAAGC
rev.: AACGTTCAACAGGCGCTTAC 489
Matsumoto
et al. (2008)
S. dysgalactiae
subsp.
dysgalactiae
VSD7
DNase1 (spd1) Phage for.: CCCTTCAGGATTGCTGTCAT 400 Green et al. S. dysgalactiae
21
rev.: ACTGTTGACGCAGCTAGGG (2005) subsp.
dysgalactiae
VSD13
Tn1207.3/Φ10394.4 LJ Chimeric
element
for.: TCTTCGCCGCATAAACCCTATC
rev.: CCTTTGACCAATGAAGTGACCTTT 453/6807
Figueiredo
et al. (2006)
S. dysgalactiae
subsp.
dysgalactiae
VSD13
Tn1207.3/Φ10394.4 RJ Chimeric
element
for.: CGAGGAGTTAGTATGGAAAC
rev.: CCCATAATAGGCAACTGGTCTCCAGC 473
Figueiredo
et al. (2006)
S. pyogenes
CSO5012
LJ – Left junction; RJ – Right junction.
22
Table 3. PCR amplification conditions for the Streptococcus pyogenes virulence factors screened in Streptococcus dysgalactiae subsp. dysgalactiae
isolates under study.
Initial
Denaturation Denaturation Annealing Extension Final extension No. of
cycles Ref.
Gene T t T t T t T t T t
speB 95º 5’ 94ºC 1' 58ºC 2' 72ºC 1' 72ºC 7’ 35 Jasir et al.
(2001)
speC 95º 5’ 94ºC 30'' 60ºC 90'' 72ºC 90'' 72ºC 7' 30 Rato (2011)
speF 95º 5’ 94ºC 1' 58ºC 2' 72ºC 1' 72ºC 7’ 35 Schmitz et al.
(2003)
speH 95º 5’ 94ºC 30'' 59ºC 90'' 72ºC 90'' 72ºC 7’ 30 Pires (2011)
speK 95º 5’ 94ºC 30’’ 57ºC 30’’ 72ºC 1’ 72ºC 7’ 30 Rato (2011)
speL 95º 5’ 94ºC 30’’ 60ºC 30’’ 72ºC 45’’ 72ºC 7’ 35 Rato (2011)
speM 95º 5’ 94ºC 30’’ 60ºC 30’’ 72ºC 45’’ 72ºC 7’ 35 Rato (2011)
smeZ 96ºC 5’ 96ºC 50’’ 49ºC 65’’ 72ºC 70’’ 72ºC 5’ 30 Darenberg et
al. (2007)
sdn 95ºC 5’ 95ºC 30'' 65ºC 30'' 72ºC 45’’ 72ºC 7’ 32 Matsumoto et
al. (2008).
spd1 95º 5’ 95ºC 30'' 60ºC 30'' 72ºC 45’’ 72ºC 7’ 32 Green et al.
(2005)
Tn1207.3/Φ10394.4
(LJ and RJ) 94ºC 5’ 94ºC 30’’ 60ºC 40’’ 72ºC 2’ 72ºC 5’ 35
Figueiredo et
al. (2006)
T – Temperature; t – Time; LJ – Left Junction; RJ – Right Junction
23
24
2.5. DNase semi-quantitative assay
The assessment of extracellular DNase production was performed based on Sumby et
al. (2005). Isolates were initially grown as already described in subsection 2.3. After
approximately 17 hours of incubation each bacterial culture isolate was diluted in Todd-
Hewitt broth supplemented with 0.5% (w/v) yeast extract and incubated at 37ºC until
stationary phase. Bacterial cultures were then centrifuged at 3000 rpm for 10 minutes
and supernatants filtered (0.2µm).
For each 50 µL of reaction mixture were added 10 µL supernatant, 1 µg dsDNA (known
PCR generated amplicons), 1X SuRE/Cut Buffer M (Sigma-Aldrich Co. LLC, St.
Louis, United States of America) and sterile Milli-Q ultrapure water (Millipore
Corporation). Each reaction mixture was then incubated at 37ºC for 1h. For the negative
control, 10 µL sterile Milli-Q water was used instead of culture filtered supernatant.
After incubation, 10 µL from each mixture was analysed in a 1% (w/v) agarose gel
electrophoresis (prepared in 1X TAE buffer).
2.6. Bacterial growth curve analysis
Bacterial growth was assessed by colony forming units per millilitre (CFU/mL) method
and the optical density at 600 nm (OD600). Isolates were initially grown as described in
subsection 2.3. After approximately 17 hours of incubation each bacterial culture isolate
was diluted in new THB medium and cultured at 37ºC without agitation for 24 hours.
Immediately before incubation, a sample of the bacterial culture was used for OD600
measurement, and serial diluted and plated in THA, to determine the initial CFU/mL.
After this, samples of the bacterial cultures were collected every hour for the following
8 hours and a last sample after 24hours of incubation to evaluate the OD600 and CFU/ml
values. THA plates with the diluted cultures were incubated at 37ºC for approximately
17 hours and the CFU/ml values were determined.
25
2.7. In vitro human cell line infection assay
For the in vitro infection analysis three SDSD isolates were chosen based on their
virulence gene profiles and one S. pyogenes invasive strain isolated from the blood of a
human septicaemia patient (Table 4).
Table 4. Streptococcal isolates chosen for the in vitro infection assays based on virulence
genotypes.
Species Strain
code GAS virulence genes detected
Clinical
origin Ref.
Streptococcus dysgalactiae
subsp. dysgalactiae
VSD21 none
Sub-
clinical
mastitis
This study VSD23 sdn
Sub-
clinical
mastitis
VSD24 speC, speK, spd1 Clinical
mastitis
Streptococcus pyogenes GAP58 speA, speB, speF, speJ, smeZ Invasive
infection
Pires
(2011)
Isolates were initially grown as described in subsection 2.3. After approximately 17
hours of incubation each bacterial culture isolate was diluted to 0.05 OD600 in new THB
medium and cultured at 37°C until mid-exponential phase and washed three times with
the same sterile culture medium, and finally ressuspended and diluted in antibiotic-free
Dulbecco’s Modified Eagle Medium (DMEM) (Thermo Fisher Scientific Inc, Waltham,
United States of America) supplemented with 10% (v/v) fetal bovine serum (FBS)
(Thermo Fisher Scientific Inc, Waltham, United States of America).
The human cell lines used in this study were the pharyngeal carcinoma epithelial cells
Detroit 562 (ATCC® CCL138™) and the normal Primary Bronchial/Tracheal Epithelial
Cells (BTEC) (ATCC® PCS300010™). Confluent monolayers (concentration of 3x105
cells/mL) for in vitro infection assays were prepared by subculture of cell monolayers
into 96-well cell culture plates (Sigma-Aldrich Co. LLC, St. Louis, United States of
America) and incubation overnight at 37°C in a CO2 5% atmosphere. Human cell line
26
cultures were performed by Catarina Roma-Rodrigues (Post-Doc at Dept. Life Sciences,
UCIBIO, Faculty of Science and Technology, NOVA University of Lisbon).
Human cells were then washed three times with 1X phosphate buffer saline (PBS) and
bacterial suspensions added on top of the human cell monolayer (multiplicity of
infection of 1:100). Bacterial suspensions were simultaneously plated on THA, to
confirm the number of bacteria added to each well through the assessment of CFU/mL.
The 96-well cell culture plate was then incubated for 2 hours at 37°C in a 5% (v/v) CO2
atmosphere.
After the 2 h period the supernatant in each well was removed by washing 3 times in 1X
PBS (to remove all extracellular non-adherent bacteria) and used for assessing the
number of CFU/mL. Cell monolayers were then detached and collected from each well
through the addition of TrypLE Express Enzyme (Thermo Fisher Scientific, Waltham,
United States of America) and finally lysed in 0.1% (v/v) Triton X-100 (Sigma-Aldrich
Co. LLC, St. Louis, United States of America) to recover intracellular and extracellular
adhered bacteria which were serial diluted and plated on THA to determine CFU/mL,
and percentage of adherent and intracellular bacteria by relation with the initial infection
CFU count (% Adhered and Internalized Streptococci).
Infection analysis was performed using the statistical analysis software SigmaPlot 12.0
(Systat Software Inc, San Jose, United States of America) using Student’s t-test method
2.8. In vivo animal infection assay
For the in vivo infection analysis of the S. dysgalactiae subsp. dysgalactiae isolate
VSD24 (speC, speK, spd1) was selected. The in vivo model used in the study was Danio
rerio (zebrafish) obtained from national suppliers (Aquaplante, Lisbon, Portugal) and
housed at the FCT/UNL fish facilities following essentially the acclimation and
experiment conditions described for zebrafish (Diniz et al., 2015).
27
All the experiments followed the international welfare regulations and were previously
approved by “Direcção Geral de Veterinária”. Sterile Tryptic Soy Broth (Becton,
Dickinson Company, East Rutherford, United States of America) (TSB) medium was
used as negative control and S. pyogenes invasive strain GAP58 (speA, speB, speF,
speJ, smeZ) was used as positive control.
Isolates were initially grown as described in subsection 2.3. After approximately 17
hours of incubation each bacterial culture isolate was diluted in new THB medium and
cultured at 37ºC until mid-exponential phase and washed, and ressuspended in TSB
culture medium. Three groups of zebrafish were injected intraperitoneally with 10 µL of
culture medium containing 1x107 bacterial cells (SDSD VSD24 or S. pyogenes GAP58)
and 10 µL of sterile culture medium (Control group), using a NanoFil 10 µL syringe
(World Precision Instruments, Sarasota, United States of America). From the total 31
injected zebrafish under study, 15 zebrafish were injected with sterile TSB, 9 with
GAP58 strain and 7 with the selected SDSD isolate.
Injection of zebrafish was performed by Mário Diniz (Assistant Professor, Dept.
Chemistry, UCIBIO, Faculty of Science and Technology, NOVA University of Lisbon).
The three zebrafish groups were then separately maintained in aquaria at 28ºC, using a
heated water bath circulator (Haake D1, Haake Messtecknik GmbH Co., Karlsruhe,
Germany), without being fed during the 15 days of assay, or until death in which they
were analysed. After the 15 days, remaining alive fish were euthanized and dissected for
the analysis of the intraperitoneal region (fish viscera) and caudal peduncle (fish
muscle). Both were homogeneised in 1X PBS, with the muscle homogenization being
further centrifuged at 2000 rpm for 10 minutes, and both plated on BAP medium
supplemented with 10 µg/mL tetracycline in order to select both isolates (VSD24 and
GAP58) under study. Susceptibility to tetracycline was previously determined by
Cinthia Alves Barroco (Ph.D. student).
Analysis of dead fish was done in order to determine if the causal agent of death was the
respective injected bacterial isolate. Control zebrafish were used in order to assess the
28
stress caused by the injection. The presumptive identification of the S. dysgalactiae,
subsp. dysgalactiae and S. pyogenes isolates was performed as described in subsection
2.1.
Infection analysis was performed using the statistical analysis software SigmaPlot 12.0
through Kaplan-Meyer’s Survival Analysis in which the Log-Rank method was
performed for survival curves, followed by the Holm-Sidak method for multiple
comparison procedures.
29
3. Results and Discussion
3.1. Virulence factors screening by PCR and expression by RT-PCR
- Overall virulence gene distribution
Of the total 29 Streptococcus dysgalactiae subsp. dysgalactiae (SDSD) bovine isolates
screened by PCR, approximately 66% (19 isolates) carry at least one of the six
following group A Streptococcus pyogenes (GAS) virulence genes: speC, speK, speL,
speM, spd1 and/or sdn, all encoded by bacteriophages. The remaining 10 isolates
(VSD20, VSD21, VSD22, VSD30, VSD31, VSD34, VSD38, VSD39, VSD45 and
VSD46) do not carry any of the 10 virulence genes that were screened, including the
abovementioned and phage-associated speH, and chromosome-associated speB, speF,
and smeZ genes. None of the 29 isolates carry the speF and speH pyrogenic exotoxin
genes, speB, and the smeZ mitogenic exotoxin gene. These results are shown in Table 5.
Table 5. Overview of the 19 Streptococcus dysgalactiae subsp. dysgalactiae isolates with at
least one S. pyogenes virulence gene detected by PCR.
Streptococcus dysgalactiae
subsp. dysgalactiae strain Farm Code S. pyogenes virulence genes
1 detected
VSD23 V sdn
VSD24 S speC, speK, spd1
VSD25 N speM, sdn
VSD26 N speK, speL
VSD27 M speL, speM
VSD28 X speM, sdn
VSD29 M speM
VSD32 O speK, sdn
VSD33 O speK, sdn
VSD35 N speM, sdn
VSD36 M speL, speM
VSD37 O speK, sdn
VSD40 R speM, sdn
VSD41 M speL, speM
VSD42 M speL, speM
VSD43 M speK, sdn
VSD44 S speC, speK, spd1
VSD47 M speC, speK, spd1
VSD48 M speC, speK, spd1 1Genes speC, speK, speL, speM, spd1 and sdn are encoded by S. pyogenes phages.
30
The sdn gene was detected in 31% of the isolates (9 isolates), speK in 31% (9 isolates),
speM in 31% (9 isolates), speL in 17% (5 isolates), and speC and spd1 were detected
simultaneously in 14% of the isolates (4 isolates).
Transcriptional analysis showed that the virulence genes speC, speK and spd1 were
transcribed in all SDSD isolates in which these genes were detected by PCR screening.
The gene speL was transcribed in all isolates except in VSD41 and the sdn gene was
also transcribed in all isolates except in VSD25. The speM gene was not transcribed in
two isolates (VSD29 and VSD41). These results are shown in Table 6.
Table 6. Transcription results obtained by RT-PCR of virulence genes detected in 19 SDSD
isolates (out of 29 isolates) with at least one S. pyogenes phage virulence gene.
Streptococcus dysgalactiae subsp.
dysgalactiae strain Transcription of S. pyogenes virulence genes
VSD23 sdn +
VSD24 speC +, speK
+, spd1
+
VSD25 speM +, sdn
–
VSD26 speK +, speL
+
VSD27 speL +, speM
+
VSD28 speM +, sdn
+
VSD29 speM –
VSD32 speK +, sdn
+
VSD33 speK +, sdn
+
VSD35 speM +, sdn
+
VSD36 speL +, speM
+
VSD37 speK +, sdn
+
VSD40 speM +, sdn
+
VSD41 speL –, speM
–
VSD42 speL +, speM
+
VSD43 speK +, sdn
+
VSD44 speC +, speK
+, spd1
+
VSD47 speC +, speK
+, spd1
+
VSD48 speC +, speK
+, spd1
+
+ gene transcribed; - gene not transcribed
As described by Broudy et al. (2002), Beres and Musser (2007), Korczynska et al.
(2012) and other authors, the speC and spd1 genes are always found in linkage in the
same prophage genome (such as the phages ɸ370.1, ɸ10270.1, ɸ10750.1 and ɸ10394.5,
for example), and in fact these were also found in linkage in isolates VSD24, VSD44,
VSD47 and VSD48 (see Table 5). Furthermore, in addition to these genes, speK was
31
also shown to be present on those abovementioned four strains. As shown by several
authors, this genotype profile is characteristic of S. pyogenes strains, such as
MGAS6180, MGAS10394 and MGAS10270, carrying prophages with the speC-spd1
and speK genes (Banks et al., 2004; Green et al., 2005b; Beres and Musser, 2007).
Linkage between speL-speM genes was also found in isolates VSD27, VSD36, VSD41
and VSD42. This might be due to the ɸ8232.3 phage in which these genes are also in
linkage (Smoot et al., 2002; Beres and Musser, 2007). Interestingly speM was found in
isolates VSD25, VSD28, VSD29, VSD35 and VSD40 independently of speL, and speL
was found in VSD26 independently of speM, which might suggest the existence of a
variant of the ɸ8232.3 phage with different genomic organization. Nevertheless, the
inability to find gene linkage in these 6 isolates could be due to primer design.
- Virulence gene distribution by farm
As shown in Table 7, out of the total 11 farms where SDSD isolates were retrieved,
farm coded as P, Q, T and U were the only farms where no SDSD strains were found
carrying S. pyogenes virulence genes.
Farm M contributed with the greatest number of SDSD isolates (n=9) with five different
genotypes. VSD31 was the only isolate from this farm without S. pyogenes virulence
genes detected. Linkage between speL-speM genes was only found in four isolates from
this farm. As for VSD25, VSD28, VSD29, VSD35 and VSD40, in which speM was
found to not be in linkage with speL, these were dispersed among this farm and farms
N, R and X. In addition, all the isolates from other farms carrying the speM gene also
carried the sdn gene. The latter gene was detected in 6 out of 7 farms where at least one
S. pyogenes virulence gene was found.
In farm M there were also isolated VSD47 and VSD48 carrying the speC and spd1
genes, also probably in linkage, as discussed above. Farm S was the other farm where
the same genotype was found. (VSD24 and VSD44). speC-spd1 as reported by Green et
32
al. (2005), was found in a larger proportion (84%) of S. pyogenes M28 strains, and of
other M types (Beres and Musser 2007). Our data suggest that these two genes are not
so well disseminated among bovine S. dysgalactiae subsp. dysgalactiae strains. This is
interesting since it was already demonstrated by Broudy et al. (2002) that S. pyogenes
prophage induction, harbouring speC-spd1, occurs when the bacteria interacts with
human pharyngeal cell cultures. It would be interesting to see if the same occurs with
these SDSD strains, and if not (in the presence of a defective phage for example), it
could explain the low frequency of this genotype in the isolates and low dissemination
throughout the farms. On the other hand, all these isolates were isolated from cases of
bovine mastitis, which implies a different tissue than pharyngeal cells, particularly
human.
Table 7. Overview of the farms and virulence gene distribution of the Streptococcus
dysgalactiae subsp. dysgalactiae isolates.
Farm Code Virulence genes Streptococcus dysgalactiae subsp. dysgalactiae
isolates
M speL, speM VSD27, VSD36, VSD41, VSD42
speM VSD29
- VSD31
speK, sdn VSD43
speC, speK, spd1 VSD47, VSD48
N speM, sdn VSD25, VSD35
speK, speL VSD26
O speK, sdn VSD32, VSD33, VSD37
P - VSD34
Q - VSD21, VSD22
R speM, sdn VSD40
S - VSD20
speC, speK, spd1 VSD24, VSD44
T - VSD30
U - VSD35, VSD38, VSD39, VSD46
V sdn VSD23
X speM, sdn VSD28
- Comparative distribution of virulence factors
As mentioned above, these results demonstrate that phage-associated virulence factors
from S. pyogenes are present and expressed in bovine SDSD isolates collected from
dairy herds between 2011 and 2013 in Portugal as it was previously reported for bovine
33
SDSD isolated in Portuguese herds in 2002-2003 (Rato et al., 2010). Interestingly, not
all isolates from the collection under study transcribed these genes (see Table 6), as
opposed to the previous collection were all isolates, in which they were present,
expressed them.
A comparison of the distribution of these virulence determinants in previously
characterized isolates collected in 2002 and 2003 and the most recent isolates, under
study, is present in Table 8.
Table 8. Distribution (%) of group A Streptococcus pyogenes (GAS) virulence genes in
Streptococcus dysgalactiae subsp. dysgalactiae collections isolates in 2002-2003 and 2011-
2013.
GAS virulence factors detected
in Streptococcus dysgalactiae
subsp. dysgalactiae isolates
Streptococcus dysgalactiae
subsp. dysgalactiae
2002-2003 collection %
(n=18) 1
Streptococcus dysgalactiae
subsp. dysgalactiae
2011-2013 collection %
(n=29) 1
Pyrogenic exotoxin C (speC) 33 (n=6) 14 (n=4)
Pyrogenic exotoxin K (speK) 50 (n=9) 31 (n=9)
Pyrogenic exotoxin L (speL) 22 (n=4) 17 (n=5)
Pyrogenic exotoxin M (speM) 11 (n=2) 31 (n=9)
DNase1 (spd1) 33 (n=6) 14 (n=4)
Streptodornase (sdn) 22 (n=4) 31 (n=9)
Composite transposon
(Tn1207.3/Φ10394.4)
Left Junction 100 (n=18) 100 (n=29)
Right Junction 0 (n=0) 0 (n=0)
At least one gene 72 (n=13) 66 (n=19)
Reference Rato et al., 2011 This study 1Chi-squared statistical analysis revealed that each independent virulence gene proportion was not
statistically different in between collections.
In all the 29 SDSD strains isolated there was no amplification of the
Tn1207.3/Φ10394.4 chimeric element right junction (RJ) and screening of the left
junction (LJ) showed PCR amplicon sizes lower than 400 bp, as opposed to the
expected 453-6807 bp described for S. pyogenes (Figueiredo et al., 2006), as seen
previously in the 18 characterized S. dysgalactiae subsp. dysgalactiae isolates collected
in 2002 and 2003 (Rato et al., 2010).
Despite this observation, Tn1207.3/Φ10394.4 chimeric element, inserted in the comEC
locus, may be present in and be a characteristic of all strains of S. dysgalactiae subsp.
34
dysgalactiae of bovine origin since comEC-Tn1207.3 left junction was present in all
isolates from all farms in both collections, which are roughly 10 years apart. On the
other hand the fact that the Φ10394.4-comEC right junction of this element was not
detected in all isolates from both collections suggests that a) only Tn1207.3 transposon
is present or b) a different Tn1207.3/Φ10394.4 related element is present. Neverthless
the inability to find the RJ could be due to primer design. In regards to the LJ lower
amplicon size and point b), this element in S. dysgalactiae subsp. dysgalactiae species
might have a different genomic organization in comparison with S. pyogenes.
This report of Rato et al. (2010) was the first and only report so far of S. dysgalactiae
subsp. dysgalactiae carrying superantigens and DNases of S. pyogenes. Together, the
results from both collections suggest that despite gene frequency variation among farms
and/or period of isolation, statistical analysis revealed that each independent virulence
gene proportion was not statistically significantly different (p value > 0.05) among
collections (speC p = 0.1116; speK p = 0.1935; speL p = 0.6731; speM p = 0.1168; spd1
p = 0.1116; sdn p = 0.5115).
Together, with the observation that, these virulence factors are found in strains isolated
almost 10 years apart suggest that they were not randomly found in the 2002-2003
collection, and are most probably a characteristic of S. dysgalactiae subsp. dysgalactiae
strains of bovine origin. This is further emphasized by the inability of Abdelsalam et al.
(2010) to find some of these virulence genes, such as speB, speC, speM and smeZ, in
strains isolated from fish in other countries in Asia. However in another study, Chénier
et al. (2008) tried, unsuccessfully, to identify various S. pyogenes superantigens (speA,
speC, speG, speH, speI, speJ, speK, speL, speM, ssa and smeZ) in a S. dysgalactiae
subsp. dysgalactiae strain isolated from a cow in Canada.
The presence of several streptococcal exotoxins in the S. dysgalactiae subsp.
dysgalactiae isolates from both collections, namely SpeC, SpeK, SpeL and SpeM,
might suggest that these strains have the potential to induce T-cell hyper-stimulation
and thus lead to life-threatening systemic infections. However, the previously discussed
35
report from Chénier et al. (2008) did not found these genes in the cellulitis case
associated with toxic shock-like syndrome.
Since S. pyogenes strains with these virulence genes such as MGAS8232 (speC-spd1,
speL-speM), MGAS6180 (speC-spd1, speK-sla, sdn) and MGAS315 (sdn, speK-sla),
are known to cause in humans rheumatic fever, pharyngitis and toxic-shock syndrome,
respectively, it further emphases the potential for the S. dysgalactiae subsp.
dysgalactiae isolates, particularly those under study, to cause similar diseases, as seen
on the reported cases of cellulitis episode described by Koh et al. (2009) and
endocarditis described by Jordal et al. (2015) (Smoot et al., 2002; Green et al., 2005b;
Musser et al., 1991). In the latter report the isolate under study was found to have a
multi-locus sequence typing (MLST) profile matching a S. dysgalactiae subsp.
dysgalactiae strain from bovine origin.
- Horizontal genetic transfer (HGT) potential between S. pyogenes and S.
dysgalactiae subsp. dysgalactiae
The previous observations that all S. pyogenes virulence genes detected in SDSD are
phage-associated and that lytic cycle of these phages can be induced in S. pyogenes,
point towards the possibility of HGT events. Throughout the years, these have already
been documented between S. pyogenes and other streptococcal species, as observed in
studies from Towers et al. (2004), Giovanetti et al. (2008) and Vojtek et al. (2008). In
the former study it was hypothesized that S. dysgalactiae subsp. equisimilis acquired a
superantigen from a S. pyogenes phage, and in the latter it was demonstrated S.
pyogenes phage transduction to S. dysgalactiae subsp. equisimilis.
To date, genetic transfer has not been demonstrated between S. pyogenes and S.
dysgalactiae subsp. dysgalactiae.
HGT events involving S. pyogenes have also been evidenced in a Broudy and Fischetii
(2003) study in which a non-toxigenic S. pyogenes strain became toxygenic upon S.
pyogenes toxygenic phage induction within the host. The fact that this study also proved
36
the occurrence of phage transduction and convert recipient bacteria in the second host
into toxigenic, might explain how a predominantly bovine pathogen such as S.
dysgalactiae subsp. dysgalactiae carries S. pyogenes phage virulence genes despite their
radically different niches. The fact that in the present thesis all virulence genes found in
the SDSD isolates are phage-encoded, and the lack of S. pyogenes chromosomal
virulence genes, also point to this possibility.
3.2. Extracellular DNase expression
All the 29 S. dysgalactiae subsp. dysgalactiae isolates were found to express
extracellular DNases with the ability to degrade 1 µg dsDNA in 1 hour incubation at
37°C after the addition of 10 µl culture filtered supernatant. A representation of these
results is shown in Figure 4 for VSD21, VSD22, VSD23, VSD24, VSD25 and VSD26
strains.
DNase1 (Spd1) and streptodornase (Sdn) presence in 14% (n=4) and 31% (n=9) of the
isolates respectively, had no correlation with the observed in vitro DNase activity since
it appears to be independent on the presence and expression of these two genes (see
Tables 5 and 6). Together these results suggest that other streptococcal extracellular
nucleases must be in play, which seems plausible since most S. pyogenes strains have at
least two DNase genes, as seen in a study from Beres and Musser (2007), such as the
above studied and others such as Spd3, Spd4 and Sda. All these are encoded on mobile
genetic elements, particularly prophages, as also seen in other studies (Sumby et al.,
2005b; Aziz et al., 2004). These enzymes might allow S. dysgalactiae subsp.
dysgalactiae to escape neuthrophil NETs and thus, evade the innate immune system
response during an inflammatory infection. This is of extremely importance since these
strains were the cause of bovine mastitis in which neuthrophils normally migrate from
the blood to the mammary gland during the intramammary infection.
37
Figure 4. Representation of extracellular DNase production by selected strains. L – NZYDNA Ladder III
(NZYTech, Lisbon, Portugal); CN1 – 418bp dsDNA control without bacterial supernatants; CN2 – 700bp
dsDNA control without bacterial supernatants; 21 – supernatant of VSD21 with CN1 control DNA; 22 –
supernatant of VSD22 with CN1 control DNA; 23 – supernatant of VSD23 with CN1 control DNA; 24 –
supernant of VSD24 with CN2 control DNA; 25 – supernant of VSD25 with CN2 control DNA; 26 –
supernant of VSD26 with CN2 control DNA; Results obtained by a 1% agarose gel eletrophoresis in 1X
TAE; 90V for 1 hour.
3.3. Growth curves analysis
As previously mentioned (see Materials and Methods section 2.6.), the growth curves of
three selected SDSD culture isolates were analysed in order to accurately determine the
relation between colony forming units per millilitre (CFU/mL) and respective OD600.
Growth measurements in OD600 and CFU/mL are displayed in Figure 5. Strains VSD21
(without S. pyogenes virulence genes), VSD23 (sdn) and VSD24 (speC, speK and spd1)
were chosen to be studied in vitro, and VSD24 for the in vivo infection assay discussed
below.
S. pyogenes GAP58 strain growth curve was previously determined by colleagues.
38
Figure 5. Growth curve analysis of the three S. dysgalactiae subsp. dysgalactiae isolates VSD21, VSD23
and VSD24. Optical density at 600 nm (OD600) (red circles) and colony forming units per millilitre
(CFU/mL) (blue squares) are depicted.
3.4. In vitro human cell line infection assay
The in vitro infection assay method used does not allow a discrimination between
intracellular and extracellular adhered bacteria probably due to their observed ability to
form biofilm, on the 96-well cell culture plates (data not shown) while the assay was
being optimized. The biofilm matrix could work as a barrier protecting the bacteria
from antimicrobials (Marks et al. 2014).
The bacterial strains selected for this assay were, as previously stated on section 2.7 of
Materials and Methods, S. dysgalactiae subsp. dysgalactiae bovine isolates VSD21
(without S. pyogenes virulence genes detected), VSD23 (sdn) and VSD24 (speC, speK
and spd1) chosen through the basis of their virulence genes profile and S. pyogenes
GAP58 (speA, speB, speF, speJ, smeZ) human invasive strain (see Table 4 in section 2.7
of Material and Methods).
39
- Pharyngeal carcinoma epithelial cells Detroit 562
Infection of Detroit 562 pharyngeal carcinoma human cell line with the SDSD isolates
selected showed a residual percentage of adherence and internalization (bacterial
interaction) compared to the S. pyogenes GAP58 strain (1.24% for VSD21, 0.50% for
VSD23 and 0.32% for VSD24 vs. 3.42%) (Figure 6). Statistical analysis showed that
these results for all three SDSD isolates were statistically significantly different (p ≤
0.05) compared to GAP58 infection which indicates a difference in the infection
potential of these bacteria. Moreover, the low adherence and internalization of SDSD
isolates suggest a lack of interaction with this type of human cell line (Detroit 562).
Figure 6. Percentage of adhered and internalized (interaction) streptococci in Detroit 562 human cell line.
VSD21 – SDSD isolate without virulence genes detected (p = 0.05; 4 assays); VSD23 – SDSD isolate
with one virulence gene (sdn) detected (p = 0.02; 4 assays); VSD24 – SDSD isolate with three virulence
genes (speC, speK, spd1) detected (p = 0.021; 2 assays); GAP58 – S. pyogenes infection control invasive
strain isolated from human blood. * – (p ≤ 0.05; 3 assays). Statistical group comparison was performed
using Student’s t-test method.
* *
*
40
VSD21, the SDSD isolate without any S. pyogenes virulence genes detected, was shown
to interact more with Detroit 562 than any other contemporary isolate. From these three
isolates, and despite the fact that the bacterial inoculum on the 96-well culture plate had
slightly lower CFU/mL count compared to the other strains, VSD21 still managed to
interact more with this human cell line as observed in the adherent and internalized
CFU/mL determination. Despite this, statistical analysis showed no significant
differences (p value > 0.05) between infection of these isolates when compared to each
other (VSD23 p = 0.232 and VSD24 p = 0.377 vs. VSD21, and VSD23 p = 0.490 vs.
VSD24).
It is apparent that the results from these specific isolates with lower interaction with
Detroit 562 than the S. pyogenes invasive isolate, are contrary to the results of S.
dysgalactiae subsp. dysgalactiae VSD5, VSD9 and VSD13 isolates from the 2002-2003
collection (see Table 11 and Figure 11 in section 6. Annex) (studied by C. Roma-
Rodrigues and C. Alves-Barroco). These latter strains are shown to adhere to or
internalize into Detroit 562 with no statistical significant difference compared to GAP58
control strain, dispite the higher percentage of interaction of these strains.
Together, the results from both collections suggest that bovine SDSD strains seem to
have different ability to interact with Detroit 562, possibly caused by different virulence
genotypes not detected involving different capacity of adhesion and internalization.
- Normal primary bronchial/tracheal epithelial cells
The infection of bronchial and tracheal epithelial human cell line (BTEC) with the
invasive GAP58 strain and the SDSD isolates gave rise to a similar pattern of adherence
and internalization as observed in Detroit 562 (9.36% for VSD21, 2.0% for VSD23 and
0% for VSD24 vs. 25.74% for GAP58) (Figure 7). However, the percentage of
adherence and internalization was higher for both GAP58 and SDSD strains (Figure 4).
Interestingly, VSD21, the isolate without any S. pyogenes virulence genes detected,
41
showed a higher percentage of adherence and internalization than VSD23 isolate (sdn)
(Figure 7).
Figure 7. Percentage of adhered and internalized (interaction) streptococci on bronchial and tracheal
epithelial human cell line. VSD21 – SDSD isolate without virulence genes detected (2 assays); VSD23 –
SDSD isolate with one virulence gene (sdn) detected (2 assays); VSD24 – SDSD isolate with three
virulence genes (speC, speK, spd1) detected (0 assays); GAP58 – S. pyogenes invasive strain isolated
from human blood (1 assay). Statistical analysis could not be performed since GAP58 control strain had
fewer than two valid treatment groups (number of assays considered) for Student’s t-test method.
VSD24, the isolate with the most S. pyogenes virulence genes detected (speC, speK,
spd1), did not show percentage of adherence and internalization due to the impossibility
of recovering bacteria from the supernatant of the 96-well culture plates, after 2 h of
incubation at 37ºC. Possible bacterial growth throughout the duration of assay could not
be assessed and therefore, percentage of adhered and internalized streptococci could not
be determined. This might be justified if non-adhered and non-internalized bacteria died
42
during or after the 2 h of incubation, since there were obtained adherent and internalized
bacterial cells.
As for GAP58 strain, only one assay could be considered since the same happened as
with VSD24, already discussed. These observations, particularly in the GAP58 control
strain, impossibilities statistical analysis of SDSD infectious potential in BTEC since
only one assay means that there are fewer than two valid treatment groups for Student’s
t-test method.
Since statistical analysis cannot be performed, the role of the S. pyogenes virulence
genes, screened in this thesis, also cannot be fully discussed in relation with BTEC.
Despite this, the higher percentage of adherence and internalization of VSD21 seems to
point out that the virulence genes under study may not correlate with in vitro human
respiratory tract cell infection potential.
SDSD strains belonging to the 2002-2003 collection (Table 11 – section 6. Annex) were
shown to adhere to and internalize into human cell lines, but similarly, in a virulence
gene independent manner. Indeed, VSD9, without S. pyogenes virulence genes detected,
and VSD13, with 5 virulence genes (speC, speK, speL, speM, spd1) managed to
interacted with BTEC in a similar manner compared to GAP58 strain, since the
percentage of adherence and internalization was not significantly different than this
control (p > 0.05), with the exception of VSD5 strain (p = 0.007) .
Together these results suggest that, despite the previous observation that the overall S.
pyogenes virulence gene proportion was maintained throughout the years by strains of
bovine S. dysgalactiae subsp. dysgalactiae species, the infection potential varies among
strains independently of the virulence genes present. More studies are needed to identify
other factors responsible for the ability of some SDSD isolates to infect human cells.
43
3.5. In vivo Zebrafish infection assay
- Contemporary S. dysgalactiae subsp. dysgalactiae zebrafish infection
Out of the 7 injected zebrafish with bovine S. dysgalactiae subsp. dysgalactiae VSD24
isolate (speC, speK, spd1), 30% (n=2) died during the 15 days of assay and the rest
stayed healthy throughout it (70% survival rate). The results are shown in Table 9.
Both deaths occurred in the first 20 hours post-injection. The homogenization of the
viscera and muscle of one fish showed a mixed bacterial growth (with α- and β-
haemolytic bacteria). The second fish also displayed similar bacterial growth from the
viscera, but not from the muscle where there was no growth observed (Table 9).
Bacterial identification, carried out by colony morphology, type of haemolysis in blood
agar plates and Lancefield grouping, in both homogenates, allowed the identification of
group C streptococci (GCS) in the first described fish. For the second fish, Lancefield
grouping was not possible (Table 9).
44
Table 9. In vivo infection of Streptococcus dysgalactiae subsp. dysgalactiae VSD24 and S.
pyogenes invasive GAP58 strains in zebrafish
Injected
strain
code
Fish
weight
(mg)
Fish time
of death
(h)
Bacterial Peritoneal
cavity
infection (P)
Bacterial
Intramuscular
infection (M)
Bacterial
Identification
(P/M)
VSD24 260 20 mixed α- and β- mixed α- and β- GCS/GCS
VSD24 250 - mixed α- and β- - GCS/-
VSD24 250 - mixed α- and β- - GCS/-
VSD24 360 20 mixed α- and β- - N/I
VSD24 430 - mixed α- and β- - Ongoing
VSD24 330 - mixed α- and β- - Ongoing
VSD24 490 - mixed α- and β- - Ongoing
GAP58 400 20 mixed α- and β- pure GAS/GAS
GAP58 250 20 mixed α- and β- pure α- GAS/GAS
GAP58 250 20 mixed α- and β- mixed α- GAS/GAS
GAP58 510 20 mixed α- and β- mixed α- and β- GAS/GAS
GAP58 290 20 mixed α- and β- pure α- GAS/GAS
GAP58 300 20 mixed α- and β- pure β- N/I
GAP58 160 20 mixed α- and β- pure β- GAS/GAS
GAP58 330 20 mixed α- and β- pure β- GAS/GAS
GAP58 200 20 mixed α- and β- - GAS/-
GCS – Lancefield Group C Streptococcus; GAS – Lancefield Group A Streptococcus; N/I – Not
identified; α- – α-haemolysis; β- – β-haemolysis.
For two out of the five surviving zebrafish, GCS was isolated from the homogenization
of the viscera and, similarly to the rest of the surviving fish, no bacterial growth was
seen from the homogenization of the muscle. Despite this, all five surviving zebrafish
displayed mixed α- and β-haemolytic bacterial growth from the viscera.
Bacterial identification needs to be concluded for the remaining three VSD24 injected
fish visceral homogenization (inexistence of bacterial growth from the muscle
homogenization).
This result demonstrates that although this SDSD isolate demonstrated the ability to
cause an infection in fish (70% survival rate), there was not a statistical significant
difference when compared to control zebrafish group injected with sterile culture
medium (in which no zebrafish died; 100% survival). In the VSD24 case, there was
observed heterogeneity in the infection response of this particular isolate since the fish
that died post-injection without bacterial growth detected from in the muscle
homogenization did not show any visual signs of disease (Figure 8). Variability of
45
individual host immune response might explain this observation since all zebrafish are
wild-type. The same applies for the surviving fish.
Furthermore, despite the isolation of α-haemolytic bacteria from the visceral tissue of
this asymptomatic fish, no bacterial growth was obtained from the homogenization of
the caudal muscle. This suggests that, if this S. dysgalactiae subsp. dysgalactiae isolate
was the cause of death, the infection was circumscribed and did not spread to sterile
tissues and thus was not systemic. Alternatively, this fish might have died due to the
injection procedure.
Figure 8. Zebrafish that died at 24 hours post-injection with S. dysgalactiae subsp. dysgalactiae
VSD24 isolate showing no signs of disease. Image provided by C. Alves-Barroco.
Except for this example, for the other zebrafish that died after injection of this strain it
was possible to isolate α-haemolytic bacteria as well as β-haemolytic from the muscle.
This indicates that a systemic infection occurred in this case and that, probably, tissue
necrosis and damage lead to the spread of other bacteria to this tissue, such as β-
haemolytic bacteria which were always found in the visceral content of both dead
zebrafish. This is explained by the presence of β-haemolytic gut bacteria such as
Aeromonas hydrophila, Pseudomonas aeroginosa, Vibrio parahaemolyticus and other,
which can act as opportunistic commensal organisms in zebrafish (Cantas et al., 2012).
It also explains why the 5 remaining surviving fish also had β-haemolytic bacterial
growth isolated from the viscera.
Out of the 9 injected zebrafish with human S. pyogenes GAP58 invasive strain (speA,
speB, speF, speJ, smeZ) it was observed focal and gross infection caused by this isolate
and death observed in all injected fish at the first day post-injection which translates to
0% survival at the end of the assays (Table 9 and figure 9). The high death rate might be
46
explained by the nature of this isolate since it is an invasive strain isolated from the
blood of a septicaemia human patient.
Figure 9. Representative zebrafish that died at 24 hours post-injection with S. pyogenes GAP58
invasive strain showing signs of disease. Image provided by C. Alves-Barroco.
For all GAP58 injected fish, both mixed α- and β-haemolytic bacterial growth was
observed from visceral tissue, as also observed in VSD24 injected fish. All of these,
with the exception of 1 fish, were identified as GAS (Table 9). As for the muscle tissue,
3 (out of the total 9) displayed pure β-haemolytic bacterial growth also identified as
GAS, except the zebrafish already mentioned whose Lancefield grouping was not
possible, and another with mixed α- and β-haemolytic colony growth also identified as
GAS (Table 9).
Interestingly, 4 zebrafish did not display β-haemolytic colony growth from the muscle,
but instead 2 fish displayed pure α-haemolytic, 1 fish mixed α-haemolytic and the fourth
no haemolysis. GAS was identified in all these four cases. This could possibly be
associated with the bacterial incubation conditions.
The isolation of α-haemolytic GCS bacteria from the muscle of the fish that died post-
VSD24 injection and the inability of isolation of this serotype in GAP58 injected fish
indicates that SDSD is the most probable cause of death in the reported fish. In addition,
β-haemolytic and/or GAS isolation from this sterile site also points towards S. pyogenes
infection in the case of GAP58 strain.
Statistical analysis showed that the infection of VSD24 isolate was statistically
significantly different (p ≤ 0.05) than GAP58 but not control injected zebrafish (p =
0.0183 and 0.129, respectively), which indicates that this SDSD isolate cannot induce
infection of fish in the same manner as the S. pyogenes GAP58 invasive strain (Table 6
47
and Figure 9). Therefore both fish that died upon VSD24 isolate injection might have
done so sporadically in accordance, as already mentioned above, with their particular
immune response to the injection.
Moreover, the microbiological analysis of the viscera which allowed to detect the
presence of α-haemolytic GCS bacteria in 2 out of 5 injected zebrafish that were
euthanized after 15 days, suggesting a possible colonization ability of the bovine S.
dysgalactiae subsp. dysgalactiae strains in these fish.
- Comparative zebrafish infection by S. dysgalactiae subsp. dysgalactiae
Figure 10 illustrates zebrafish survival analysis curves of both infection controls,
medium injected and GAP58 strain injected, as well as the above discussed VSD24
strain isolate from the contemporary collection isolated between 2011-2013. In
collaboration with C. Roma-Rodrigues and C. Alves-Barroco, the infection potential of
2 other S. dysgalactiae subsp. dysgalactiae strains in zebrafish was assessed and
compared. Strains VSD9 (without S. pyogenes virulence genes detected) and VSD13
(speC, speK, speL, speM, spd1) were selected based on their S. pyogenes virulence gene
profile, from the 2002-2003 collection characterized by Rato et al. (2010). All SDSD
strains were studied in parallel and controls of infection were the same as for VSD24.
48
Time (days)
0 2 4 6 8 10 12 14
Pro
ba
bili
ty o
f S
urv
iva
l (%
)
0
20
40
60
80
100
Control zebrafish
VSD9 injected
VSD13 injected
VSD24 injected
GAP58 injected
Figure 10. Zebrafish survival analysis curves with and without (control; sterile medium
injection) SDSD VSD24 and S. pyogenes GAP58 strain infection. Survival probability
throughout the 15 days of assay (lines) and censored surviving fish (dots) are depicted. Control
zebrafish (black line), VSD9 injected zebrafish (blue line), VSD13 injected zebrafish (pink
line), VSD24 injected zebrafish (green line) and GAP58 injected (red line) are depicted. There
is a statistically significant difference between survival curves (p = < 0,001). Survival curves of
all strains, with exception of VSD24 (p > 0.05), are statistically significantly different than the
Control zebrafish survival curve.
Out of the 4 fish injected with S. dysgalactiae subsp. dysgalactiae VSD9 strain it was
observed 2 fish deaths (in the first three days post-injection. After this period, fish
managed to overcome a possible SDSD infection. None of these 2 fish died at the first
day of assay.
49
As for SDSD VSD13 strain, 9 fish were injected. Similarly to VSD9 strain, there were
no reported deaths past three days post-injection. During this period fish died every day,
with the majority reported at the third day. In total, 56% (n=5) of VSD13 injected fish
died (44% survival rate)
Statistical analysis revealed that the infection of VSD9 and VSD13 strains was
statistically significantly different (p < 0.05) than GAP58 and control injected zebrafish
(VSD9 p = 0.00425 and 0.0164, respectively for both controls, and VSD13 p = 0.00203
and 0.00827, also respective to both controls). Results indicate that these S.
dysgalactiae subsp. dysgalactiae strains can indeed induce a higher infection rate in fish
compared with control fish, and lower when compared to the S. pyogenes GAP58
invasive strain (Table 10 and Figure 10).
Altogether, the results obtained with the three S. dysgalactiae subsp. dysgalactiae
isolates studied (VSD9, VSD13 and VSD24) confirms that this species can infect
different hosts, namely bovines and fish. The fact that not all strains displayed the same
ability implies that the infection potential is strain dependent.
S. dysgalactiae subsp. dysgalactiae VSD24, with three S. pyogenes virulence genes
encoding SpeC and SpeK pyrogenic exotoxins and Spd1 DNase, infected fish with no
statistical significant difference compared do control fish (Table 10). On the other hand
VSD9, without any of these genes, and VSD13, with the most genes detected, could do
so, although with less severity than GAP58. This suggests that these particular virulence
genes screened by PCR, did not influence bacterial infection, and thus, infection
potential in zebrafish is independent of these particular S. pyogenes virulence genes.
This was also observed in the in vitro human cell line infections assays, discussed in
section 3.4.
50
Table 10. Zebrafish infection assay statistical analysis comparison between S. dysgalactiae
subsp. dysgalactiae and sterile medium, and S. pyogenes GAP58 infection controls. All pairwise
multiple comparison procedures done with Holm-Sidak method (p < 0.05).
Comparisons P Value Significance
VSD9 vs. Control 0,0164 Yes
VSD9 vs. GAP58 0,00425 Yes
VSD13 vs. Control 0,00827 Yes
VSD13 vs. GAP58 0,00203 Yes
VSD24 vs. Control 0,129 No
VSD24 vs. GAP58 0,0183 Yes
51
4. Conclusions
This work aimed at evaluating if carriage of S. pyogenes phage virulence genes is
shared by strains of the strictly animal pathogen S. dysgalactiae subsp. dysgalactiae
isolated in 2011-2013 in dairy herds in Portugal, and assessing if that property if
species-specific by comparison with a previous group of S. dysgalactiae subsp.
dysgalactiae strains, isolated in 2002-2003 and characterized by Marcia et al. (2010). It
also aimed at evaluating if these virulence genes can influence the virulence potential of
strains of this species using in vitro and in vivo studies to infer a zoonotic potential.
Our main conclusions and remarks are the following:
- Carriage of virulence factors, such as superantigens and DNases, encoded by phages
of the strictly human pathogen S. pyogenes phage are most probably a characteristic of
S. dysgalactiae subsp. dysgalactiae of bovine origin.
- S. dysgalactiae subsp. dysgalactiae isolates collected in 2011-2013 produce
extracellular DNases, independently on the presence and expression of spd1 and sdn
genes.
- S. dysgalactiae subsp. dysgalactiae isolates collected in 2011-2013 could not adhere
and internalize into the pharyngeal carcinoma epithelial human cells Detroit562,
contrary to the control S. pyogenes human invasive strain and to other S. dysgalactiae
subsp. dysgalactiae isolates from the 2002-2003 collection.
- Adherence and internalization of S. dysgalactiae subsp. dysgalactiae isolates collected
in 2011-2013 to bronchial and tracheal epithelial human cell line could not be
statistically assessed. Two bovine isolates from the 2002-2003 collection could indeed
interact with this cell line in a similar way as control S. pyogenes human invasive strain.
- S. dysgalactiae subsp. dysgalactiae VSD21 (isolate from the 2011-2013 collection,
without S. pyogenes virulence genes) could interact more with both human cell lines
52
than other contemporary bovine isolates, similarly with VSD9 strain (from 2002-2003
collection). Therefore, the results suggest that S. pyogenes phage virulence gene
frequency does not correlate with in vitro infectious potential of these strains.
- Zebrafish intraperitoneally injection of S. dysgalactiae subsp. dysgalactiae strains
revealed that not all bovine isolates can infect this animal model in the same manner.
Infection potential varies between strain and is not dependent on the S. pyogenes phage
virulence genes profiled.
This thesis helped to answer to some questions regarding the role of the genotype of S.
dysgalactiae subsp. dysgalactiae, regarding S. pyogenes virulence determinants, in the
infection potential in human respiratory cell lines and in the animal model, zebrafish. As
these isolates were collected from cases of bovine mastitis from dairy farms, possible
transmission to humans is of major concern.
In order to continue this work and to confirm the results obtained:
- Perform at least 3 new in vitro infection assays using the normal primary
bronchial/tracheal epithelial cell line.
- Conduct new in vitro and in vivo infection assays with bacterial isolates from the same
collections with different genotypes.
- Study other in vitro cell lineages such as bovine and human primary epithelial cells
from the mammary gland.
53
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6. Annex
Table 11. Streptococcus dysgalactiae subp. dysgalactiae isolates from the 2002-2003 collection
chosen for the in vitro infection assays based on their Group A S. pyogenes (GAS) virulence
genes detected.
Species Strain
code
GAS virulence genes
detected
Clinical
origin Ref.
Streptococcus dysgalactiae
subsp. dysgalactiae
VSD5 sdn Subclinical Rato et al.,
2010 VSD9 none Subclinical
VSD13 speC, speK, speL, speM, spd1 Subclinical
Figure 11. Percentage of adhered and internalized (interaction) streptococci on Detroit 562 (black bars)
and bronchial and tracheal epithelial human cell line (grey bars). VSD5 - SDSD strain with one virulence
gene (sdn) detected (P = 0.062 for Detroit562 and P = 0.007 for BTEC); VSD9 - SDSD strain without
virulence genes detected (P = 0.073 for Detroit562 and P = 0.843 for BTEC); VSD13 - SDSD strain with
five virulence genes (speC, speK, speL, speM, spd1) detected (P = 0.065 for Detroit562 and P = 0.122 for
BTEC); GAP58 – SP invasive strain isolated from human blood. * – p value ≤ 0.05. Statistical group
comparison was performed using Student’s t-test method. Results provided by C. Roma-Rodrigues and C.
Alves-Barroco.
*